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Next-generation Metrics for Scholarly Performance William Gunn, Ph.D. Head of Academic Outreach Mendeley @mrgunn https://orcid.org/0000-0002-3555-2054

Next-generation Metrics for Scholarly Performance · 2019. 8. 6. · •personalized recommendations based on reading history •related articles •recommender frameworks –implement

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Page 1: Next-generation Metrics for Scholarly Performance · 2019. 8. 6. · •personalized recommendations based on reading history •related articles •recommender frameworks –implement

Next-generation Metrics for Scholarly Performance

William Gunn, Ph.D. Head of Academic Outreach

Mendeley

@mrgunn

https://orcid.org/0000-0002-3555-2054

Page 2: Next-generation Metrics for Scholarly Performance · 2019. 8. 6. · •personalized recommendations based on reading history •related articles •recommender frameworks –implement

Open Access Policies

Page 3: Next-generation Metrics for Scholarly Performance · 2019. 8. 6. · •personalized recommendations based on reading history •related articles •recommender frameworks –implement

Open Access Has Benefits

• The perception that there were tradeoffs when choosing open access slowed adoption

• Only Open Access can fully provide the benefits of the web – interoperability, accessibility, discovery

• An expanded definition of impact brings new kinds of content and new metrics

Page 4: Next-generation Metrics for Scholarly Performance · 2019. 8. 6. · •personalized recommendations based on reading history •related articles •recommender frameworks –implement

King, Christopher (2012) Thomson Reuters Annual Report

http://ar.thomsonreuters.com/_files/pdf/MultiauthorPapers_ChrisKing.pdf

Page 5: Next-generation Metrics for Scholarly Performance · 2019. 8. 6. · •personalized recommendations based on reading history •related articles •recommender frameworks –implement

Adams, Jonathan. "Collaborations: the fourth age of research."

Nature 497.7451 (2013): 557-560.

Page 6: Next-generation Metrics for Scholarly Performance · 2019. 8. 6. · •personalized recommendations based on reading history •related articles •recommender frameworks –implement

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

There is no gold standard

Page 7: Next-generation Metrics for Scholarly Performance · 2019. 8. 6. · •personalized recommendations based on reading history •related articles •recommender frameworks –implement

Pochoda, Phil. "The big one: The epistemic system break in scholarly monograph

publishing." new media & society 15.3 (2013): 359-378.

Authors Publishers

Printers

Shippers

Booksellers

Readers

Page 8: Next-generation Metrics for Scholarly Performance · 2019. 8. 6. · •personalized recommendations based on reading history •related articles •recommender frameworks –implement

Pochoda, Phil. "The big one: The epistemic system break in scholarly monograph

publishing." new media & society 15.3 (2013): 359-378.

Authors Publishers

Printers

Shippers

Booksellers

Readers

1770

Page 9: Next-generation Metrics for Scholarly Performance · 2019. 8. 6. · •personalized recommendations based on reading history •related articles •recommender frameworks –implement

Authors Readers Internet

Research is changing

Publishers

Repositories

Professional

Websites

Page 10: Next-generation Metrics for Scholarly Performance · 2019. 8. 6. · •personalized recommendations based on reading history •related articles •recommender frameworks –implement

Challenges for Repositories

• The world is leaning green

• Repositories thus have an essential role

• Repositories aren’t in the workflow of a researcher, neither in search for new ideas nor in presentation of their work

Page 11: Next-generation Metrics for Scholarly Performance · 2019. 8. 6. · •personalized recommendations based on reading history •related articles •recommender frameworks –implement

The Ouroboros problem

• repositories need content deposited to get usage, and they need usage to get deposits

• Discovery tools can address usage and usage will promote content

– scholarly outputs are papers, datasets, code, and more.

Page 12: Next-generation Metrics for Scholarly Performance · 2019. 8. 6. · •personalized recommendations based on reading history •related articles •recommender frameworks –implement

New forms of discovery

• personalized recommendations based on reading history

• related articles

• recommender frameworks

–implement recommendations as a service

• third-party recommender services

–serve niche audiences

Page 13: Next-generation Metrics for Scholarly Performance · 2019. 8. 6. · •personalized recommendations based on reading history •related articles •recommender frameworks –implement

research impacts more than authors

http://altmetrics.org/manifesto/

Page 14: Next-generation Metrics for Scholarly Performance · 2019. 8. 6. · •personalized recommendations based on reading history •related articles •recommender frameworks –implement

...and aggregates research data in the cloud

Mendeley extracts research data…

Install Mendeley Desktop

Collecting rich signals from domain experts.

Page 15: Next-generation Metrics for Scholarly Performance · 2019. 8. 6. · •personalized recommendations based on reading history •related articles •recommender frameworks –implement

Home Work Mobile

Cloud Library

Page 16: Next-generation Metrics for Scholarly Performance · 2019. 8. 6. · •personalized recommendations based on reading history •related articles •recommender frameworks –implement

Shared Folder

Page 17: Next-generation Metrics for Scholarly Performance · 2019. 8. 6. · •personalized recommendations based on reading history •related articles •recommender frameworks –implement

Mendeley Research Catalog

Page 18: Next-generation Metrics for Scholarly Performance · 2019. 8. 6. · •personalized recommendations based on reading history •related articles •recommender frameworks –implement

Mendeley Research Catalog

Page 19: Next-generation Metrics for Scholarly Performance · 2019. 8. 6. · •personalized recommendations based on reading history •related articles •recommender frameworks –implement

Read papers + keep track of notes

470M documents

Page 20: Next-generation Metrics for Scholarly Performance · 2019. 8. 6. · •personalized recommendations based on reading history •related articles •recommender frameworks –implement

Taking some misery out of writing

Page 21: Next-generation Metrics for Scholarly Performance · 2019. 8. 6. · •personalized recommendations based on reading history •related articles •recommender frameworks –implement

Information Extraction

Page 22: Next-generation Metrics for Scholarly Performance · 2019. 8. 6. · •personalized recommendations based on reading history •related articles •recommender frameworks –implement

We are publishing this data to the LOD cloud

http://code-research.eu/

Page 23: Next-generation Metrics for Scholarly Performance · 2019. 8. 6. · •personalized recommendations based on reading history •related articles •recommender frameworks –implement

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

Page 24: Next-generation Metrics for Scholarly Performance · 2019. 8. 6. · •personalized recommendations based on reading history •related articles •recommender frameworks –implement

research impacts more than authors

http://altmetrics.org/manifesto/

Page 25: Next-generation Metrics for Scholarly Performance · 2019. 8. 6. · •personalized recommendations based on reading history •related articles •recommender frameworks –implement
Page 26: Next-generation Metrics for Scholarly Performance · 2019. 8. 6. · •personalized recommendations based on reading history •related articles •recommender frameworks –implement
Page 27: Next-generation Metrics for Scholarly Performance · 2019. 8. 6. · •personalized recommendations based on reading history •related articles •recommender frameworks –implement

Readership vs. citations

• it comes with a payload of metadata

• it accrues faster

• it illuminates previously hidden impact

Page 28: Next-generation Metrics for Scholarly Performance · 2019. 8. 6. · •personalized recommendations based on reading history •related articles •recommender frameworks –implement

http

://arx

iv.org

/htm

l/1203.4

745v1

altmetrics show broader impact

Page 29: Next-generation Metrics for Scholarly Performance · 2019. 8. 6. · •personalized recommendations based on reading history •related articles •recommender frameworks –implement

htt

p://d

x.d

oi.org

/10.3

789/isqv25no2.2

01

3.0

4

Page 30: Next-generation Metrics for Scholarly Performance · 2019. 8. 6. · •personalized recommendations based on reading history •related articles •recommender frameworks –implement

http://www.asis.org/Bulletin/Apr-13/AprMay13_Lin_Fenner.html

altmetrics show broader impact

Page 31: Next-generation Metrics for Scholarly Performance · 2019. 8. 6. · •personalized recommendations based on reading history •related articles •recommender frameworks –implement

Issues To Be Addressed

• Identity

• Privacy

• Attribution

• Gaming

• Filtration

standards/ best practice

Page 32: Next-generation Metrics for Scholarly Performance · 2019. 8. 6. · •personalized recommendations based on reading history •related articles •recommender frameworks –implement

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

There is no gold standard

Page 33: Next-generation Metrics for Scholarly Performance · 2019. 8. 6. · •personalized recommendations based on reading history •related articles •recommender frameworks –implement

Cultural skew is important

South America is weak on N.A. social media, strong on Mendeley

Page 34: Next-generation Metrics for Scholarly Performance · 2019. 8. 6. · •personalized recommendations based on reading history •related articles •recommender frameworks –implement

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)

Page 35: Next-generation Metrics for Scholarly Performance · 2019. 8. 6. · •personalized recommendations based on reading history •related articles •recommender frameworks –implement

www.mendeley.com

[email protected] @mrgunn