Equality of Google Scholar with Web of Science Citations: Case of Malaysian Engineering Highly Cited Papers
Nader Ale Ebrahim,
Hadi Salehi,
Mohamed Amin Embi,
Mahmoud Danaee,
Marjan Mohammadjafari,
Azam Zavvari,
Masoud Shakiba and
Masoomeh Shahbazi-Moghadam
University of Malaya (UM) - Department of
Engineering Design and Manufacture, Faculty of EngineeringUniversity of
Malaya (UM) - Research Support Unit, Centre of Research Services,
Institute of Research Management and Monitoring (IPPP), Islamic Azad
University, Najafabad Branch, Universiti Kebangsaan Malaysia - Faculty
of Education, Islamic Azad University (IAU) - Department of Agriculture,
University of Malaya (UM), National University of Malaysia, National
University of Malaysia and Universiti Teknologi Malaysia (UTM)
Date posted to database: 9 Aug 2014
Last Revised: 10 Aug 2014
SSRN Top Downloads
In order to improve the quality of systematic researches, various tools have been developed by well-known scientific institutes sporadically. Dr. Nader Ale Ebrahim has collected these sporadic tools under one roof in a collection named “Research Tool Box”. The toolbox contains over 720 tools so far, classified in 4 main categories: Literature-review, Writing a paper, Targeting suitable journals, as well as Enhancing visibility and impact factor.
Sunday, 28 September 2014
Wednesday, 24 September 2014
Kardashian Index: the academics famous just for being famous | Opinion | Times Higher Education
Source: http://www.timeshighereducation.co.uk/comment/opinion/kardashian-index-the-academics-famous-just-for-being-famous/2015070.article
Ranking reveals the scholars whose social media profile exceeds their academic credentials
Do you know what your Kardashian index score is? If not, you should work it out now, according to a paper by Neil Hall, professor of functional and comparative genomics at the University of Liverpool.
Professor
Hall’s measure takes its name from Kim Kardashian, the US television
personality who, he says, is famous simply for being famous rather than
for any discernible talent or skill.
“You could say that her
celebrity buys success, which buys greater celebrity,” he writes in the
paper, titled “The Kardashian index: a measure of discrepant social
media profile for scientists” and published in the journal Genome Biology.
“Her fame has meant that comments by Kardashian on issues such as Syria
have been widely reported in the press. Sadly, her interjection on the
crisis has not yet led to a let-up in the violence,” Professor Hall
writes.
He believes that there are parallels to be drawn in
academia and, specifically, science. “I think it is possible that there
are individuals who are famous for being famous (or, to put it in
science jargon, renowned for being renowned),” he writes. “We are all
aware that certain people are seemingly invited as keynote speakers, not
because of their contributions to the published literature but because
of who they are.
“In the age of social media there are people who
have high-profile scientific blogs or Twitter feeds but have not
actually published many peer-reviewed papers of significance; in
essence, scientists who are seen as leaders in their field simply
because of their notoriety.”
To explore his theory, Professor Hall
plotted the number of Twitter followers a scientist had against the
number of scientific citations they had received to calculate their
Kardashian index score. Those individuals with a highly over-inflated
number of followers (compared with the number that would be expected)
are the Kardashians.
“Social media make it very easy for people to
build a seemingly impressive persona by essentially ‘shouting louder’
than others,” he says. “I propose that all scientists calculate their
own K-index on an annual basis and include it in their Twitter profile.”
Not
only will this help others decide how much weight they should give to
these scholars’ tweets, he writes, but it might also incentivise those
who are high up the K-index to “get off Twitter and write those papers”.
“Interestingly,
in my analysis, very few women (only one in fact) had a highly inflated
Twitter following, while most (11/14) had fewer followers than would be
expected,” he adds. “Hence, most Kardashians are men!”
The study
“does not prove that we, as a community, are continuing to ignore
women”, or that women are “less likely to engage in self-promotion”, he
says, but it is consistent with either or both of these scenarios.
“I
don’t blame Kim Kardashian or her science equivalents for exploiting
their fame; who wouldn’t?” Professor Hall concludes. “However, I think
it’s time that we develop a metric that will clearly indicate if a
scientist has an overblown public profile so that we can adjust our
expectations of them accordingly.”
Kardashian Index: the academics famous just for being famous | Opinion | Times Higher Education
Ranking reveals the scholars whose social media profile exceeds their academic credentials
Do you know what your Kardashian index score is? If not, you should work it out now, according to a paper by Neil Hall, professor of functional and comparative genomics at the University of Liverpool.
Professor
Hall’s measure takes its name from Kim Kardashian, the US television
personality who, he says, is famous simply for being famous rather than
for any discernible talent or skill.
“You could say that her
celebrity buys success, which buys greater celebrity,” he writes in the
paper, titled “The Kardashian index: a measure of discrepant social
media profile for scientists” and published in the journal Genome Biology.
“Her fame has meant that comments by Kardashian on issues such as Syria
have been widely reported in the press. Sadly, her interjection on the
crisis has not yet led to a let-up in the violence,” Professor Hall
writes.
He believes that there are parallels to be drawn in
academia and, specifically, science. “I think it is possible that there
are individuals who are famous for being famous (or, to put it in
science jargon, renowned for being renowned),” he writes. “We are all
aware that certain people are seemingly invited as keynote speakers, not
because of their contributions to the published literature but because
of who they are.
“In the age of social media there are people who
have high-profile scientific blogs or Twitter feeds but have not
actually published many peer-reviewed papers of significance; in
essence, scientists who are seen as leaders in their field simply
because of their notoriety.”
To explore his theory, Professor Hall
plotted the number of Twitter followers a scientist had against the
number of scientific citations they had received to calculate their
Kardashian index score. Those individuals with a highly over-inflated
number of followers (compared with the number that would be expected)
are the Kardashians.
“Social media make it very easy for people to
build a seemingly impressive persona by essentially ‘shouting louder’
than others,” he says. “I propose that all scientists calculate their
own K-index on an annual basis and include it in their Twitter profile.”
Not
only will this help others decide how much weight they should give to
these scholars’ tweets, he writes, but it might also incentivise those
who are high up the K-index to “get off Twitter and write those papers”.
“Interestingly,
in my analysis, very few women (only one in fact) had a highly inflated
Twitter following, while most (11/14) had fewer followers than would be
expected,” he adds. “Hence, most Kardashians are men!”
The study
“does not prove that we, as a community, are continuing to ignore
women”, or that women are “less likely to engage in self-promotion”, he
says, but it is consistent with either or both of these scenarios.
“I
don’t blame Kim Kardashian or her science equivalents for exploiting
their fame; who wouldn’t?” Professor Hall concludes. “However, I think
it’s time that we develop a metric that will clearly indicate if a
scientist has an overblown public profile so that we can adjust our
expectations of them accordingly.”
Kardashian Index: the academics famous just for being famous | Opinion | Times Higher Education
Monday, 22 September 2014
Economic Growth and Internet Usage Impact on Publication Productivity among ASEAN’s and World’s Best Universities - E-LIS repository
Economic Growth and Internet Usage Impact on Publication Productivity among ASEAN’s and World’s Best Universities
Gholizadeh, Hossein and Salehi, Hadi and Embi, Mohamed Amin and Danaee, Mahmoud and Ordi, Ali and Tanha, Farid Habibi and Ale Ebrahim, Nader and Osman, Noor Azuan Abu
Economic Growth and Internet Usage Impact on Publication Productivity among ASEAN’s and World’s Best Universities.
Modern Applied Science, 2014, vol. 8, n. 5, pp. 169-178.
[Journal article (Print/Paginated)]
Text Economic Growth and Internet Usage.pdf - Published version Download (395Kb) |
Official URL: http://ssrn.com/abstract=2495293 http://www.ccsene...
English abstract
Measuring the
number of papers which are published each year, publication
productivity is the factor which shows the reputation of universities
and countries. However, the effect of growing economy and using internet
on the publication productivity in Asian countries has not been
discovered yet. The present research is going to figure out the
publication productivity among the elite universities in Asian countries
and also ten top universities around the world in the last twenty years
(from 1993 to 2012). Furthermore, the current research is aimed to
study the relationship among publication, gross domestic product (GDP)
and internet usage. It is worth to mention that the publication of the
top Ten Malaysian Universities was regarded for the similar period of
time. To get the exact numbers of documents like papers, conference
articles, review papers and letters which are published by the
universities in the last twenty years, the writer of the same paper used
the Science Direct database. Moreover, the data for GDP and the number
of internet usage was collected through the World Bank database (World
Data Bank).To compare all kinds of publications,one-way ANOVA was used
and to investigate the impact of economic growth and internet usage on
publication productivity, multiple regression analysis was applied.The
results showed that the rate of publication growth was 1.9, 20.9, and
65.5 in top universities in the world, ASEAN countries and Malaysia,
respectively.The results also showed that there was a positive and
significant correlation between GDP and the number of internet users
with the number of publications in ASEAN and Malaysian universities.
Internet usage had much more influence in comparison with the GDP in
predicting the number of publications among these groups except for top
ten Malaysian universities from 2003 to 2012. In summary, publication
trends in top ten Malaysian and ASEAN universities are promising.
However, policy makers and science managers should spend much more
percentage of their GDP on Internet facilities and research studies that
their outputs lead to more rapid economic growth and internet usage.
number of papers which are published each year, publication
productivity is the factor which shows the reputation of universities
and countries. However, the effect of growing economy and using internet
on the publication productivity in Asian countries has not been
discovered yet. The present research is going to figure out the
publication productivity among the elite universities in Asian countries
and also ten top universities around the world in the last twenty years
(from 1993 to 2012). Furthermore, the current research is aimed to
study the relationship among publication, gross domestic product (GDP)
and internet usage. It is worth to mention that the publication of the
top Ten Malaysian Universities was regarded for the similar period of
time. To get the exact numbers of documents like papers, conference
articles, review papers and letters which are published by the
universities in the last twenty years, the writer of the same paper used
the Science Direct database. Moreover, the data for GDP and the number
of internet usage was collected through the World Bank database (World
Data Bank).To compare all kinds of publications,one-way ANOVA was used
and to investigate the impact of economic growth and internet usage on
publication productivity, multiple regression analysis was applied.The
results showed that the rate of publication growth was 1.9, 20.9, and
65.5 in top universities in the world, ASEAN countries and Malaysia,
respectively.The results also showed that there was a positive and
significant correlation between GDP and the number of internet users
with the number of publications in ASEAN and Malaysian universities.
Internet usage had much more influence in comparison with the GDP in
predicting the number of publications among these groups except for top
ten Malaysian universities from 2003 to 2012. In summary, publication
trends in top ten Malaysian and ASEAN universities are promising.
However, policy makers and science managers should spend much more
percentage of their GDP on Internet facilities and research studies that
their outputs lead to more rapid economic growth and internet usage.
Item type: | Journal article (Print/Paginated) |
---|---|
Keywords: | ASEAN, publication productivity, documents, internet usage, GDP, Malaysian Universities, publication trend |
Subjects: | H. Information sources, supports, channels. I. Information treatment for information services L. Information technology and library technology. |
Depositing user: | Dr. Nader Ale Ebrahim |
Date deposited: | 22 Sep 2014 11:36 |
Last modified: | 22 Sep 2014 11:36 |
URI: | http://hdl.handle.net/10760/23780 |
References
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Economic Growth and Internet Usage Impact on Publication Productivity among ASEAN’s and World’s Best Universities - E-LIS repository
Thursday, 18 September 2014
Academic Search Engine Optimization
Source: http://www.library.yorku.ca/cms/academicseo/
Once that’s done, here are some things you can do to make the article easy for others to find, which means more people will see it and be more likely to read it and cite it.
scholarly material from proprietary sources such as subscription
journals and grey literature from the open web. It can be easier to
search there than to go into several different databases.
Soon after your article is published, Google Scholar will see it.
Here is what’s known of how Google Scholar decides its search rankings,
and why your article ends up where it does in the results:
Information Sourcebook) explains what open access is, how it works, why
it works, and how to get started.
Open access is different across disciplines. To find out more, see York’s Scholarly Communications Initiative or talk to Andrea Kosavic, Digital Initiatives Librarian.
Contact the library’s digital initiatives team at <diginit@yorku.ca>.
York University Libraries » Academic Search Engine Optimization
Academic Search Engine Optimization
(Also available as a PDF, specially formatted for printing and reading: Academic Search Engine Optimization)
You want your article to be read. Of course the first and most important thing is to write a good article and get it published in a good journal.Once that’s done, here are some things you can do to make the article easy for others to find, which means more people will see it and be more likely to read it and cite it.
(If you want to make your web site, or your project’s, more visible in search engines, see Search Engine Optimization: Advice for York Researchers. If you have any questions about either kind of SEO, get in touch with William Denton, web librarian.)
Understand Google Scholar
Google Scholar indexesscholarly material from proprietary sources such as subscription
journals and grey literature from the open web. It can be easier to
search there than to go into several different databases.
Soon after your article is published, Google Scholar will see it.
Here is what’s known of how Google Scholar decides its search rankings,
and why your article ends up where it does in the results:
- Words in the title are weighted heavily.
- It relies heavily on citation counts. The more an article has been cited, the higher it ranks.
- However, recent articles are weighted more than older ones. This helps counter the effect of citation counts.
- Journal name and author names also count for a lot.
- Words in bitmapped graphics (such as JPEGs and PNGs) are not
indexed. Use vector graphics and plain text (e.g. for captions) so that
Google Scholar can read the words. - Google Scholar does not seem to base its rankings on the frequency of a search term in an article.
- Multiple versions of an article, (e.g. on your home page and in
YorkSpace) will be grouped together. Preprints, postprints and final
journal copies are also grouped.
Make it open access
OASIS (Open Access ScholarlyInformation Sourcebook) explains what open access is, how it works, why
it works, and how to get started.
Open access is different across disciplines. To find out more, see York’s Scholarly Communications Initiative or talk to Andrea Kosavic, Digital Initiatives Librarian.
Put it in YorkSpace
Google Scholar knows that YorkSpace is the institutional repository at a research university. It gives high weight to articles stored there. The YorkSpace Deposit Toolkit explains everything you need to know to add your work, with instructional guides, videos and documentationContact the library’s digital initiatives team at <diginit@yorku.ca>.
Announce it
- Update your personal web site with a link to it. Ask your co-authors to do the same.
- Post about it on Twitter, Facebook, and other social networking sites.
- Post about it on Academia.edu, Mendeley, and other academic networking sites. Mendeley’s Academic SEO—Market (and Publish) or Perish is worth reading.
- Talk to your faculty communications officer.
- York U Media Relations is there to help you get media coverage. Their Media Guide explains how they can write about you in YFile and also issue news releases and inform the media about your work.
- Talk to Knowledge Mobilization about writing a Research Snapshot of the work.
Track your citations
- Google Scholar Citations tracks your articles, graphs citations over time and calculates h- and i10-indexes.
- Web of Science has a Cited Reference Search.
- Scopus is particularly strong in science.
- Publish or Perish uses Google Scholar for citation counts and to determine h- and g-indexes.
- Journals with article DOIs can use CrossRef’s Cited-By Linking. (Ask the editors.)
- Download statistics from YorkSpace are available.
- YUL’s Guide to Cited Reference Searching has more.
York University Libraries » Academic Search Engine Optimization
Sunday, 14 September 2014
SSRN Top Downloads For Sociology of Innovation eJournal
Equality of Google Scholar with Web of Science Citations: Case of Malaysian Engineering Highly Cited Papers Nader Ale Ebrahim, Hadi Salehi, Mohamed Amin Embi, Mahmoud Danaee, Marjan Mohammadjafari, Azam Zavvari, Masoud Shakiba and Masoomeh Shahbazi-Moghadam University of Malaya (UM) - Department of Engineering Design and Manufacture, Faculty of EngineeringUniversity of Malaya (UM) - Research Support Unit, Centre of Research Services, Institute of Research Management and Monitoring (IPPP), Islamic Azad University, Najafabad Branch, Universiti Kebangsaan Malaysia - Faculty of Education, Islamic Azad University (IAU) - Department of Agriculture, University of Malaya (UM), National University of Malaysia, National University of Malaysia and Universiti Teknologi Malaysia (UTM) Date posted to database: 9 Aug 2014 Last Revised: 10 Aug 2014 |
SSRN Top Downloads
Online tools for researchers
Source: http://connectedresearchers.com/online-tools-for-researchers/#discuss
Online tools for researchers
Here you will find a list of online
“web 2.0″ tools, designed for researchers. The list will be updated
progressively as this blogs explores the different services out there.
“web 2.0″ tools, designed for researchers. The list will be updated
progressively as this blogs explores the different services out there.
I - Using “the crowd” for research (crowdsourcing, surveys…)
II – Scientific Social Networking
III - Sharing Science (data, figures, code, samples…)
IV - Lab and Research Management Tools
V - Producing research (data analysis, writing, publishing)
VI - Find expertise
VII - Find, organize and discuss papers
II – Scientific Social Networking
III - Sharing Science (data, figures, code, samples…)
IV - Lab and Research Management Tools
V - Producing research (data analysis, writing, publishing)
VI - Find expertise
VII - Find, organize and discuss papers
I – Crowdsoucing Research -
New tools specifically designed for crowdsourcing research are developing rapidly. For example, here are a few funding-based crowdsourcing sites (crowdfunding):Other crowdfunding seeks active participation of the public or of
other researchers to accomplish specific tasks. Thses site are part of a
movement called citizen science:
- SciStarter - Have users participate in various scientific experiments.
- Socialsci – A survey service tailored for researchers. (blog post)
- Zooniverse - A large collection of ongoing citizen science projects.
- Project Noah - Participants can help explore and document local wildlife.
- SETI@home - Help find E.T
- Folding@home - Give some of your CPU time to help research on protein folding.
- Kaggle - Harvests the power of crowdsourcing to solve problems in need of data modeling. (blog post)
- Ubiome – Explore your micro-biome and help researchers understand micro-biome/disease correlation. (blog post)
II – Social Networking Sites for Researchers -
Socialnetwork sites seem to come in at least 4 different flavors: site that
offer tools to manage your references, tools to increase your online
presence and ease networking, tools to exchange and engage in new
collaborations and more site that are specialized in specific scientific
fields. Keep in mind that this classification is not exclusive since
all have overlapping functionalities.
Reference managers orientated:
- Mendeley - 2 million-user mark passed in 2012
- CiteUlike - Sponsored by SpringerLink.
- BibSonomy - Initiative from the University of Kassel, Germany.
Connotea - Sponsored by Nature Publishing group(discontinued March 11)- Zotero - Great open source reference manager
Networking orientated:
Social exchange orientated:
- ResearchGate - The 2 million-user academic social network
- MyScienceWork – Soon 5 languages for this European orientated network.
- UnitedAcademics - Connects science to society.
- Colwiz - Collective Wizdom from Oxford (UK)
- Labroots - Pioneer int the science social networking site business.
- BiomedExperts - Bringing experts together
- AcademicJoy - A more personal approach to research
- ScienceOpen - Research and publishing network (blog post)
Specialized social network:
- MalariaWorld – For malaria scientists
- SocialScienceSpace - For social science
III – Sharing Science (data, figures, code, samples…) -
One important aspect of the open science movement,is making your research always more accessible. This means thinking of
new ways to communique scientific research, and online tools to share
scientific related materials will certainly. So brows bellow and share
away!
- Figshare - Share papers, figures.
- GitHub – Great repository for open source code. Also comes with tools needed to manage your project.
- OpenWetWare - Share detailed protocols for biologists and bioengineers
- SciVee - Share videos of protocols and talks
- Benchfly – View and share videos of laboratory protocols, tips, tricks and techniques. (blog post)
- SlideShare - Share slide presentations
- MyExperiment - Share scientific workflows
- DataCite - Helps you find and cite data
- Zenodo - is a publicly funded repository for research results. Offer 1gigabyte of free space
- arXive- repository for pre-prints of manuscripts in the fields of physics
- PeerJ Preprint
– Deposit your preprint paper for free. Accepts research in the field
of biological sciences, medical sciences, and health sciences - SampleOfScience
- Online platform designed to promote collaboration between scientists
by stimulating the dissemination of scientific samples. (blog post) - GlobalEventList lists scientific and medical events from around the world.
- Benchling – Manipulate genetic sequences online. Track changes, store and share. (blog post)
- Protocols - Share and discover protocols . (blog post)
- Addgene – Share and deposit plasmids.
- IV Lab and Research Management Tools -
Research laboratories can
be organizational mess when it comes to ordering, inventory, recording
of experimental data or equipment management. Luckily there’s an
increasing collection of great online tools out there that helps you
manage a lab. Here’s a few, some of which will be featured by a blog
post in the upcoming weeks:
be organizational mess when it comes to ordering, inventory, recording
of experimental data or equipment management. Luckily there’s an
increasing collection of great online tools out there that helps you
manage a lab. Here’s a few, some of which will be featured by a blog
post in the upcoming weeks:
- LabGuru - One of the most comprehensive web-based lab and research management tool. Free for personal use.
- Quartzy - Another very mature lab management service. Completely free!
- ELabInventory - A commercial web-based tool for inventory management.
- Life technologies Lab Management Tool - A free tool for lab equipment management (blog post)
- Sparklix - A free web-based electronic lab notebook equipped with a set of tools to manage your data
- Labarchives - A free web-based electronic notebook software (25 Mb of free storage included)
- Labfolder -
An online digital lab notebook where users can write, draw and assemble
reports of their latest experiments, that they can then safely store in
the cloud. (blog post) - Hivebench – Online electronic lab notebook with protocol and inventory management
CellKulture – (Private Beta version) Free electronic lab notebook for tracking cell and tissue cultures.(blog post) Discontinued in September 2014 (blog post)
V – Producing research (data analysis, writing, publishing) -
There’s a lot of great tools out there
that can help you produce great research, from analyzing data, to
writing and publishing your scientific papers. More and more tools will
also focus on helping you communicate your research through new media,
mostly online (blog, twitter, open source, paper repository…)
that can help you produce great research, from analyzing data, to
writing and publishing your scientific papers. More and more tools will
also focus on helping you communicate your research through new media,
mostly online (blog, twitter, open source, paper repository…)
Working with data:
- Plot.ly – Online tool to analyze data, plot beautiful graphs and share all of that with the world.
- WebPlotDigitizer – Web-based tool to extract data points from figures. (blog post)
Collaborative writing:
- SciGit - Collaborative writing for scientists made easy. (blog post)
- Penflip – Collaborative writing and version control with this GitHub for writers. (blog post).
- Rubriq - Offers
a rigorous peer-review service for your biological and medical
sciences-related manuscript before their submission to publishers (for a
fee). (blog post) - American Journal Experts - Online service that will help you through all step of a paper preparation (for a fee).
- ACS ChemWorx -
A hybrid tool from the American Chemical Society that allows reference
management, storage of pdf in the cloud and tools to help write and
publish in ACS journals. - WriteLaTex – Free collaborative LaTeX editor that that lets you create, edit and share your LaTeX documents.
- ShareLaTex - Real time collaboration around LaTeX documents
- Authorea -Collaborative writing tool for scientific articles. (blog post)
- Paperpile – A browser-based reference manager, with perfect integration with google docs and drive. (blog post)
- Writefull – A small application that uses Google Books and Web Search to help you write. (blog post)
- Edanz’s journal advisor - A
free online journal selection service. The tool analyzes your abstracts
and suggests a list of adapted journals ranked by matching score. - Journal Guide
– Analyzes title and abstract to find the perfect journal for your
paper. Compare and comment on journal cost, aims and scope, open access
policies. (blog post) - RoMEO - Gathers the copyright and self-archiving policies of over 2200 journals. (blog post)
- Runmycode - Allows
you to create a companion website for your publication. The site can
host a cloud-based version of your code that users can run at will. (blog post)
The good old citation number has been the standard metric for impact
for years. How do you know how impactful your research is in the
research 2.0 era? These services provide a new evalutation of research,
in part by considering the online ecosystem. This alternative metrics
has been named “Article Level Metrics” or “Altmetrics” (alternative
metric).
- ImpactStory - Evaluates impact of articles by tracking bookmarks, twitts, blog posts and social network posts. (blog post)
- PlumAnalytics - Tracks over 20 sources to provide alternative analysis of research impact
- PLOS Article-Level Metrics - PLOS’s alternative metrics
- Altmetric -Directly originating from the altmetrics movement, provides article level altmetrics
- ScienceCard - Early altmetric software (development on hold at the moment)
VI – Find expertise -
Whether it’s a biology lab needs to find a
software engineer, or a chemistry lab that needs to access to the latest
mass spectrometry instruments and analysis, a whole range of online
services have emerged these past years help you connect to experts and
expertise.
software engineer, or a chemistry lab that needs to access to the latest
mass spectrometry instruments and analysis, a whole range of online
services have emerged these past years help you connect to experts and
expertise.
- ScienceExchange - “An eBay for science” says nature.com. This service helps researchers find and use shared equipment facilities around the US.
- Assaydepot - A network of both public and private research services exchange.
- Zombal - A
scientific freelancer platform Deposit request for research project to
be done, or come find a job and “transform your scientific expertise
into cash”. - 1degreebio - Find independent review on life science products and service provider
- Direct2experts - An impressive directory of experts from biomedical institutions around the USA.
- Biomedexperts - Connects biomedical researchers throughout the world through networks of co-authors.
- Expertnet - A portal of expertise across Florida’s universities.
VII – Find, read, organize and discuss papers -
A good chunk of the researcher’s work is to
find the right papers, then to understand and discuss them to generate
new ideas. A series of tools have been developed to help in that
process.
find the right papers, then to understand and discuss them to generate
new ideas. A series of tools have been developed to help in that
process.
- PubPeer - An online community that uses the publication of scientific results as an opening for fruitful discussion. (blog post)
- Pubmed Commons – Pubmed’s commenting plateform, limited availibility. (blog post)
- JournalLab – Find and discuss papers. Journal Lab also allows figures to be discussed. (blog post)
- Publons - specialized in physics orientated manuscripts. Comment and review paper published on the pre-print repository arXiv and other top physics journals (Applied physics letters, Nature, PRL…)
- EvidenceFinder - Search engine that digs deep into the full text of articles to find facts related to your search queries. (blog post)
- Google Scholar - Beyond being a great publication search engine like other (pubmed, scifinder, Scirus…), google scholar also implemented researcher profiles and publication suggestions based on your interrest.
- Pushpin -
This service includes a classic social network interface, with
profiles, publication list but also makes recommendations regarding who
you should follow and what papers might be interesting to you. (blog post) - Pubget – Search engine for life science PDFs. Pubget finds and displays the PDFs directly in its interface.
- PubChase, a tool to search, organize, store pdf, and discover biomedical research both in browser and mobile. (blog post)
- ReadCube,
is platform that helps you organize, find new paper and manage your
pdfs. It also includes a pdf reader with enriched content (including
links to references, altmetric data and much more) - ScienceGist, is a platform that allows users to transcribe the abstracts of top scientific papers in simplified english. (blog post)
- Scizzle, an aggregator for scientific articles to easily organize, share and collaborate through an user-friendly and clean look. (blog post)
- Peer Evaluation -
Allows authors to upload data, articles and media and have them openly
accessible and available for review and discussion by peers. - Peerage of Science -
Has the particularity of bridging the independent peer-review process
with direct access to publishing in partner journals if successful with
review process. - Paper Critics - Connects to Mendeley accounts, this tool offers researchers to give and receive feedback about their scientific production.
- Libre - Participative reviewing platform. This tool is not launched just yet, so be on the lookout for updates.
- LazyScholar - Chrome extension that saves time when looking for the full texts of scientific papers. (blog post)
- Sciencescape – Browse networks of papers linked by fields, ranked by Eigenfactor. (blog post)
Online tools for researchers | Connected Researchers