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How Mendeley illuminates a 
broader definition of impact 
William Gunn, Ph.D. 
Head of Academic Outreach 
Mendeley 
@mrgunn 
https://orcid.org/0000-0002-3555-2054
...and aggregates research 
data in the cloud 
Install 
Mendeley Desktop 
Mendeley extracts 
research data… 
Collecting rich signals 
from domain experts.
Cloud Library 
Home Work Mobile
Shared Folder
Read papers + keep track of notes 
470M documents
Taking some misery out of writing
Mendeley Research Catalog
Mendeley Research Catalog
New forms of discovery 
• Mendeley Suggest 
– personalized recommendations based on 
reading history 
• related articles 
– relatedness based on document similarity 
• recommender frameworks 
– implement recommendations as a service 
• third-party recommender services 
– serve niche audiences
Information Extraction
We are publishing this data to the LOD cloud 
http://code-research.eu/
Connecting researchers 
Search 
Read 
Annotate 
Organize 
Import 
Write
Data we collect 
• Metadata about the paper 
–title, author, tags, annotations, 
reads, shares, groups 
• Metadata about the researcher 
–discipline, educational status, 
country, papers they’ve authored, 
presentations, expertise
2.7M researchers
Defining readership 
• Each document addition is a 
“read” 
• stamped with metadata 
describing the context of the read 
event 
• a read is like a citation, but faster 
and captures more
research impacts more than authors
Problems with Impact Factor
The higher the impact factor, 
the more likely the research is to 
be retracted, partly due to 
intense competition. 
http://bjoern.brembs.net/news766.html.11 
Highly Tweeted articles are 11x 
more likely to be highly cited. 
(Eysenbach 2011) 
http://www.jmir.org/2011/4/e123/ 
What matters is who is 
reading your work!
Problems with Impact Factor 
During discussions with Thomson 
Scientific over which article types 
in PLoS Medicine the company 
deems as “citable,” it became clear 
that the process of determining a 
journal's impact factor is 
unscientific and arbitrary.” 
http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.0030291
Citations are slow
Mendeley is fast
Readership vs. citations 
• it comes with a payload of 
metadata 
• it accrues faster 
• it illuminates previously 
hidden impact
http://arxiv.org/html/1203.4745v1 
altmetrics show broader impact
http://dx.doi.org/10.3789/isqv25no2.2013.04
altmetrics show broader impact 
http://www.asis.org/Bulletin/Apr-13/AprMay13_Lin_Fenner.html
Issues To Be Addressed 
• Identity 
• Privacy 
• Attribution 
• Gaming 
• Filtration 
standards/ 
best practice
There is no gold standard 
 Amgen: 47 of 53 “landmark” oncology publications could 
not be reproduced 
 Bayer: 43 of 67 oncology & cardiovascular projects were 
based on contradictory results 
 Dr. John Ioannidis: 432 publications purporting sex 
differences in hypertension, multiple sclerosis, or lung 
cancer. Only one data set was reproducible
Cultural skew is important 
South America is weak on N.A. social media, strong on Mendeley
What would people build if they 
could get the data? 
• Impact Story – get credit for all your work 
• PLOS ALM – article-level metrics for 
papers 
• Plum Analytics – bespoke analytics for 
libraries (EBSCO) 
• Altmetric.com – altmetrics for publishers. 
(Digital Science)
www.mendeley.com 
william.gunn@mendeley.com 
@mrgunn

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ICSTI TACC 2014: How Mendeley Illuminates a Broader Definition of Impact

  • 1. How Mendeley illuminates a broader definition of impact William Gunn, Ph.D. Head of Academic Outreach Mendeley @mrgunn https://orcid.org/0000-0002-3555-2054
  • 2. ...and aggregates research data in the cloud Install Mendeley Desktop Mendeley extracts research data… Collecting rich signals from domain experts.
  • 3. Cloud Library Home Work Mobile
  • 5. Read papers + keep track of notes 470M documents
  • 6. Taking some misery out of writing
  • 9. New forms of discovery • Mendeley Suggest – personalized recommendations based on reading history • related articles – relatedness based on document similarity • recommender frameworks – implement recommendations as a service • third-party recommender services – serve niche audiences
  • 11. We are publishing this data to the LOD cloud http://code-research.eu/
  • 12. Connecting researchers Search Read Annotate Organize Import Write
  • 13. Data we collect • Metadata about the paper –title, author, tags, annotations, reads, shares, groups • Metadata about the researcher –discipline, educational status, country, papers they’ve authored, presentations, expertise
  • 15. Defining readership • Each document addition is a “read” • stamped with metadata describing the context of the read event • a read is like a citation, but faster and captures more
  • 16. research impacts more than authors
  • 18. The higher the impact factor, the more likely the research is to be retracted, partly due to intense competition. http://bjoern.brembs.net/news766.html.11 Highly Tweeted articles are 11x more likely to be highly cited. (Eysenbach 2011) http://www.jmir.org/2011/4/e123/ What matters is who is reading your work!
  • 19. Problems with Impact Factor During discussions with Thomson Scientific over which article types in PLoS Medicine the company deems as “citable,” it became clear that the process of determining a journal's impact factor is unscientific and arbitrary.” http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.0030291
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  • 24. Readership vs. citations • it comes with a payload of metadata • it accrues faster • it illuminates previously hidden impact
  • 27. altmetrics show broader impact http://www.asis.org/Bulletin/Apr-13/AprMay13_Lin_Fenner.html
  • 28. Issues To Be Addressed • Identity • Privacy • Attribution • Gaming • Filtration standards/ best practice
  • 29. There is no gold standard  Amgen: 47 of 53 “landmark” oncology publications could not be reproduced  Bayer: 43 of 67 oncology & cardiovascular projects were based on contradictory results  Dr. John Ioannidis: 432 publications purporting sex differences in hypertension, multiple sclerosis, or lung cancer. Only one data set was reproducible
  • 30. Cultural skew is important South America is weak on N.A. social media, strong on Mendeley
  • 31. What would people build if they could get the data? • Impact Story – get credit for all your work • PLOS ALM – article-level metrics for papers • Plum Analytics – bespoke analytics for libraries (EBSCO) • Altmetric.com – altmetrics for publishers. (Digital Science)