librarians & altmetrics: tools, tips and use cases

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Librarians & altmetrics: Tools, tips and use cases February 20, 2014

Mike Taylor, Research Specialist, Elsevier Labs (@herrison) Mike's current areas of work include altmetrics, contributorship, research networks, the future of scholarly communications and other identity issues. He has worked in various capacities within the ORCID initiative. Jenny Delasalle, Freelance Consultant/Librarian (@JennyDelasalle) Jenny's interests include bibliometrics and altmetrics, the changing landscape of scholarly communication, and how researchers can and do share and promote their research while also protecting their professional image. Jenny has worked in a number of academic library roles at various UK higher education institutions, including most recently at the University of Warwick, managing the library's support of researchers. Kristi Holmes, Bioinformaticist, Washington University in St. Louis (@kristiholmes) Kristi's professional interests include open science, support and training in genomic medicine, and understanding the impact of research efforts. She serves as the outreach lead for the research discovery platform VIVO and is a member of the ORCID Outreach Steering Group.

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Research Specialist, Elsevier Labs http://orcid.org/0000-0002-8534-5985 [email protected]

Mike Taylor

Altmetrics: a primer Where does the data come from? Can it be gamed? Buy in or build your own?

http://orcid.org/0000-0002-8534-5985

mailto:[email protected]

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Altmetrics: a primer Mike Taylor

What is the data?

• A set of altmetric data is about a common document and represents usage, recommendation, shares, re-usage

• Identified by DOI, URL, shortened URL, other ID (e.g., arXiv, PubMed)

• It does not show common intent: a tweet is not the same as a Mendeley share is not the same as a Data Dryad data download is not the same as mass media coverage or a blog

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Various providers…

• Altmetric.com • Impactstory.org • Plum Analytics • PLOS / PLOS code • Altmetrics is not Altmetric.com

Each has strengths and weaknesses, no canonical source

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Different data have different characteristics

• Example from 13,500 papers: • Highly tweeted stories focus on policy, gender,

funding, “contentious science” issues, mostly summaries on Nature News

• Highly shared papers in Mendeley are hard core original research

• Different platforms have discipline bias • Scholarly blogs both lead interest and respond • Data from Altmetric.com

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Bringing together sources…

• Altmetrics isn’t one thing, so attempting to express it as one thing will fail

• We favour intelligent clusters of data: social activity, mass media, scholarly activity, scholarly comment, re-use

• Elsevier believes that more research is needed, and that best indicators are scholarly activity and scholarly comment

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Gaming / cheating

• If people take this data seriously, will they cheat? • E.g., Brazilian citation scandal, strategies used by people to

increase IF of journals • Expertise in detecting fraudulent downloads (e.g., SSRN),

self-tweeting – when is “normal” corrupt? • One thing to buy 1,000 tweets, another to buy 10 blogs, or

mass media coverage • Do those Twitter accounts have scholarly followers? • Pattern analysis, usage analysis, network analysis • Public data = public analysis = public response

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Other criticisms

• Biggest criticisms are when people try and conflate all the data into a single thing

• Easy point of attack – tweets are all about “sex drugs and rock ‘n’ roll papers”*

• Using clusters is more intelligible to academic community – e.g., re-use, scholarly activity, scholarly comment (blogs, reviews, discussions)

• * this isn’t true anyway

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Buy-in, or bake-your-own

• Buy-in: Altmetric.com and PLUM from Ebsco • Free-to-use: Impactstory.org, platforms that use

PLOS article-level-metrics code • Bake-your-own: Impactstory.org, PLOS • Or a root-and-branch build

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Topics covered

• Data sources • Providers • Different types of data, differences and similarities • Criticisms, weaknesses and strategies • Your next steps

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Freelance Consultant/Librarian

Jenny Delasalle

Altmetrics: why it's relevant to a librarian http://jennydelasalle.wordpress.com/

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Altmetrics : why it's relevant to a librarian Jenny Delasalle

Consider the potential of altmetrics

• They are appearing in library subscription products… consequences

• Should they appear in institutional repositories? How?

• Possibly use when considering crowd funding/citizen science projects

• Spaces to watch

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Appearing in library subscription & library recommended products

1. User education/ information skills/literacy

2. Appropriate use of data & tools by institution

3. Marketing and outreach potential?

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What the public sees

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Should they appear in institutional repositories?

1. A showcase: “Bring a paper to life” : track related discussions and materials

2. For authors & admin staff to see attention from newspapers, blogs, social media

3. Use by repository manager: collection development, depositor encouragement & proof of the IR’s contribution

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Which article level measures in an IR?

• Pageviews, downloads, citations • Saves on Mendeley, Delicious, CiteULike, etc. • Shares through Twitter, Facebook, blog posts,

Mendeley, etc. • Choose a source & tool, e.g.,

Altmetric.com/Impactstory/Plum/PLOS • Allow authors control?

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Plum Analytics: University

of Pittsburgh

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Altmetrics: University of Warwick

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Impactstory & figshare

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Crowdsourcing/citizen science

1. Benefits of crowdsourcing include investment of cash, expertise or resource

2. It is both a means of engaging with the public, and also relies upon being successful at such engagement

3. By measuring interest in your research, you can consider whether there would be interest in participation/investment

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Spaces to watch 1. Kudos, growkudos.com “helps authors and

institutions maximize the impact and visibility of their publications” (Also publishers & societies)

2. ORCID aggregates an individual’s work: authors can use with impactstory.org : are they using it?

3. COUNTER compliant institutional repositories 4. Services (not only tools) that allow universities “ to

use analytics to develop actionable insights on how to improve their research, student experience and efficiency, and effectiveness.” – Times HigherEd

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References & Further Reading • Priem, Costello, Tyler (2012) Prevalence and use of Twitter among scholars -

http://figshare.com/articles/Prevalence_and_use_of_Twitter_among_scholars/104629

• The San Francisco Declaration on Research Assessment (DORA declaration), initiated by the American Society for Cell Biology (ASCB) - http://am.ascb.org/dora/

• Konkiel, S (2013) Altmetrics in Institutional repositories, ASIS&T 2013, Montreal https://scholarworks.iu.edu/dspace/bitstream/handle/2022/17122/2013_ASIST_Altmetrics%20%26%20Libraries.pdf?sequence=1

• Smith, D (2013) What is Kudos? An Interview with David Sommer, Co-Founder, Scholarly Kitchen blog - http://scholarlykitchen.sspnet.org/2013/12/17/what-is-kudos-an-interview-with-david-sommer-co-founder/

• Brody et al (2009) Publisher and Institutional Repository Usage Statistics (PIRUS) final report -http://www.jisc.ac.uk/media/documents/programmes/pals3/pirus_finalreport.pdf

• Parr, C (2014) Bett show: four areas of technology that could transform universities, THE - http://www.timeshighereducation.co.uk/news/bett-show-four-areas-of-technology-that-could-transform-universities/4/2011070.article



http://am.ascb.org/dora/

https://scholarworks.iu.edu/dspace/bitstream/handle/2022/17122/2013_ASIST_Altmetrics & Libraries.pdf?sequence=1

https://scholarworks.iu.edu/dspace/bitstream/handle/2022/17122/2013_ASIST_Altmetrics & Libraries.pdf?sequence=1

http://scholarlykitchen.sspnet.org/2013/12/17/what-is-kudos-an-interview-with-david-sommer-co-founder/

http://scholarlykitchen.sspnet.org/2013/12/17/what-is-kudos-an-interview-with-david-sommer-co-founder/

http://www.jisc.ac.uk/media/documents/programmes/pals3/pirus_finalreport.pdf

http://www.jisc.ac.uk/media/documents/programmes/pals3/pirus_finalreport.pdf

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Bioinformaticist Washington University in St. Louis

Kristi Holmes

Going beyond counts: understanding impact

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Going beyond counts: understanding impact Kristi Holmes

Translational Research The bench to the bedside and beyond

http://icts.wustl.edu/

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Why do we need to think about research impact?

https://becker.wustl.edu/impact-assessment/model

• Quantify and document research impact

• Justify future requests for funding • Quantify return on research

investment • Discover how research findings are

being used • Identify similar research projects • Identify possible collaborators • Determine if research findings are

duplicated, confirmed, corrected, improved or repudiated

• Determine if research findings were extended (different human populations, different animal models/species, etc.)

• Confirm that research findings were properly attributed/credited

• Demonstrate that research findings are resulting in meaningful health outcomes

• Discover community benefit as a result of research findings

• Progress reports • Tenure • Promotion dossiers

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How do we think about productivity?

http://www.philnel.com/2010/10/14/procrastigrading/

Don’t knock publications • Citations

– Rates and rankings – Networks – Dissemination patterns

• Collaboration • Dissemination • Grant funding • Research trends

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…but there’s so much more!

http://www.philnel.com/2010/10/14/procrastigrading/

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Research Impact

Wells R, Whitworth A. 2007. Assessing outcomes of health and medical research: do we measure what counts or count what we can measure? Australia and New Zealand Health Policy, 4:14

“It is no longer enough to measure what we can – we need to measure what matters.”

So how do we measure what matters?

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Going beyond the counts to find meaningful impact

In everyone’s CV, we’ll find • Reviews • New funding awarded • New types of funding

mechanisms • New research studies • Invited lectures, new focus areas

at conferences • Membership on committees • Awards

Consider specific pathways* to uncover meaningful impact… Advancement of Knowledge Clinical Implementation Legislation and Policy Enactment Economic Benefit Community Benefit

*can be adapted to reflect any number of disciplines

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Going beyond the counts to find meaningful impact

• New diagnostic criteria • New standard of care • Curriculum guidelines • Measurement instruments • Continuing education materials • Clinical/practice guidelines • Quality measure guidelines • Private healthcare benefit plans • Cost-effective intervention • Consensus development conferences

American Medical Association Current Procedural Terminology (CPT) codes

• Change in delivery of healthcare services



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Slide title

https://becker.wustl.edu/impact-assessment

https://becker.wustl.edu/impact-assessment

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The Becker Model • Provides a supplement to publication analysis to provide a more

robust and comprehensive perspective of biomedical research impact. – reporting templates, glossary of resources and terms, examples of relevant indicators

of impact across the research process, and readings

• Straightforward framework for tracking diffusion of research outputs and activities to locate indicators that demonstrate evidence of biomedical research impact – individual, core, and institutional-level; modify for different disciplines

• Guidance for quantifying and documenting research impact as well as resources for locating evidence of impact.

• Strategies for enhancing the impact of research

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Strategies for enhancing the impact of research

https://becker.wustl.edu/impact-assessment/strategies

Repetition, consistency, and an awareness of the intended

audience form the basis of most the strategies.

Suggestions for researchers and recommendations to reach out to their

library for assistance.

The strategies focus upon Preparing for Publication,

Dissemination, and Keeping Track of Your Research.

Optimizing discoverability and access of your research is the

surest way to enhance its visibility and impact.

https://becker.wustl.edu/impact-assessment/strategies

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Understanding the impact of a single paper can be challenging. How do we understand the impact of a person? A research center? A university?

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Research networking and discovery systems

• Enable more efficient means of collecting & representing meaningful outputs en masse

• Showcase achievements and expertise

• Facilitate diffusion of research products

• Support team-based science and collaboration

• Allow better understanding of the research enterprise

– Peer comparisons – Strategic planning – Emerging trends

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What is VIVO? 1. An open source semantic

web application 2. An information model 3. An open community*

* A big, welcoming OS community! Let us know if you have questions or need information, connections, or materials:

http://vivoweb.org/contact

http://vivoweb.org/contact

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Tying it all together

http://vivo.ufl.edu/display/n86607

Continue to represent typical profile information – absolutely! Enhance profiles by incorporating meaningful outputs, as described by the Becker Model or other frameworks, to enhance their content and value Can facilitate the dissemination of scholarship and more

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http://blog.plumanalytics.com/post/57707501083/plumx-now-supports-vivo

PlumX supports VIVO

1. Aggregate information about our researchers

2. Harvest research outputs from the profile

3. Plum’s harvesting engine calculates metrics and provides both an analytics dashboard as well as visualizations.

4. Widgets can be embedded back into the VIVO profile!

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http://blog.plumanalytics.com/post/57707501083/plumx-now-supports-vivo

PlumX supports VIVO

1. Aggregate information about our researchers

2. Harvest research outputs from the profile

3. Plum’s harvesting engine calculates metrics and provides both an analytics dashboard as well as visualizations.

4. Widgets can be embedded back into the VIVO profile!

http://vivo.ufl.edu/display/n86607

FigShare, lab notebooks, project outputs, SlideShare, etc.

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Acknowledgements

Funding: • Washington University Institute

of Clinical and Translational Sciences, NIH award UL1 RR024992

• VIVO - DuraSpace

Thanks: • Cathy Sarli, MLS, AHIP • Karen Gutzman – NLM Fellow • Jae Allen • Washington University ICTS and

WU ICTS Tracking & Evaluation Team

• Andrea Michalek at Plum @amichalek

• VIVO Community @VIVOcollab • Becker Medical Library

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Questions & Thank You! Mike Taylor, Research Specialist, Elsevier Labs @herrison [email protected] http://orcid.org/0000-0002-8534-5985 Jenny Delasalle, Freelance Consultant/Librarian @JennyDelasalle [email protected] http://jennydelasalle.wordpress.com/ Kristi Holmes, Bioinformaticist, Washington University in St. Louis @kristiholmes [email protected]

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http://jennydelasalle.wordpress.com/


librarians & altmetrics: tools, tips and use cases

Data & Analytics