Altmetrics 101 LITA Altmetrics & Digital Analytics Webinar

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Presentation transcript:

Altmetrics 101 LITA Altmetrics & Digital Analytics Webinar December 8, 2016 Heather L. Coates, MLS, MS @IandPanguarBan IUPUI University Library Center for Digital Scholarship http://ulib.iupui.edu/digitalscholarship

Not so long ago, the only research outputs that counted in promotion and tenure, hiring, and for funding were journal articles, books & chapters, and presentations.

In that system, the only way of valuing scholarship was through citations, which is very self-referential and closed

The types of scholarly products that “count” is expanding, at least in theory. Unfortunately, the practice of tracking only the products that have DOIs works against that ideal.

As are the types of metrics available, but we are still learning what these metrics data mean. Too often, their use is driven by sheer availability, rather than the strategic and thoughtful dissemination.

Changing practices to align with values Leiden Manifesto for research metrics: http://www.leidenmanifesto.org/ San Francisco Declaration on Research Assessment (DORA): http://www.ascb.org/dora/ “Do not use journal-based metrics, such as Journal Impact Factors (JIFs), as surrogate measures of the quality of individual research articles, to assess an individual scientist’s contributions, or in hiring, promotion, or funding decisions.”

Why do we need metrics? P&T review committees can’t read everything P&T review committee members are not experts in your field Models for producing scholarship differ by discipline and research methods used Some metrics are decent indicators of scholarly use (e.g., citation) Some metrics are decent indicators of public discussion (e.g., Twitter, Facebook, news media attention) Some metrics are decent indicators of reuse (e.g., data citations)

Terminology Haustein et al, 2016, Interpreting Altmetrics Research object: a scholarly object for which an event can be recorded Event: a recorded activity or action which relates to the research object Host: the place where research objects are made available and exposed to potential events Source: a platform where events are available Consumer: a party that collects and uses events to research objects (types of consumers include aggregators or end user or audience) NISO RP-25-2016 Impact: The subjective range, depth, and degree of influence generated by or around a person, output, or set of outputs. Interpretations of impact vary depending on its placement in the research ecosystem. Terminology for referring to scholarly products or outputs, acts, and platforms

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

Impact Indicators Research Output & Activities Biological materials, collaborations, data, databases, repositories, techniques & procedures, grey literature, invention disclosures, mobile apps, patents, trainees, etc. Advancement of Knowledge Books/chapters (inclusion in bibliographies, library ownership, textbook use), change in understanding (paradigm shift, lead to new approach), citations (first & second generation citations, countries and institutions represented), conference themes, new centers/institutes Clinical Implementation (or TRIP) Biological materials, study cited in clinical decision aid, clinical/practice guidelines, diagnostic application, instruments, quality measure guidelines (gov’t or NPO), reporting requirements Legislation & Policy Committee participation, study cited in guidelines, study cited in policy, study cited in enactment of standards Economic Benefit Findings cited in reduced costs for delivery of healthcare services, findings result in enhancement of existing resources and expertise, license agreements for use of IP, spinoff or startup company Community Benefit Public awareness of risk factors, patient decision materials, cited in public/private insurance benefit plan

Levels of Metrics Journal/Venue Level Metrics Output/Article Level Metrics Author Level Metrics

Citation Metrics Article/Item-level: Journal-level: Author-level: Citation counts Field Weighted Citation Impact (Scopus) Eigenfactor Article Influence Score Relative Citation Ratio (NIH - https://icite.od.nih.gov/) Journal-level: Journal Impact Factor (JIF) 5-year JIF Eigenfactor Author-level: h-index i-10 index (Google Scholar)

*Altmetrics are item-level metrics Web Metrics View Use Social Media Metrics Share Recommend Discuss *Altmetrics are item-level metrics

Benefits of Altmetrics Supplement traditional metrics Scope extends beyond the formal published scholarly record (journals & books) Timeframe: immediate to short-term impact Sources: social media platforms where people interact with content and each other on a daily basis (e.g., where people live) DO capture and link to qualitative data (ex: blog snippets, tweet content) Notes: Altmetrics – measures more immediate impact of your publication than traditional impact metrics; attempt to be more relevant to researcher and article/item “Article-Level Metrics only make sense in context, and the most important ones are probably article age, subject area and journal.” Posted at http://api.plos.org/2012/07/20/example-visualizations-using-the-plos-search-and-alm-apis/

Sources of Altmetrics Publishers Aggregation services Impact Story: http://impactstory.org/ Altmetric.com: http://www.altmetric.com/ Plum Analytics: https://plu.mx/g/samples Subject repositories PubMedCentral (PMC) arXiv SSRN Institutional repositories

Responsible Use of Altmetrics Altmetrics aren’t alternative to citation-based indicators, they are complementary Start with the story, then use metrics to support your narrative Present metrics in context Present metrics along with qualitative evidence Consider using normalized metrics when available Both citation metrics and altmetrics can be used as indicators of various types of impact, if used appropriately

Try it out Sign up for an ORCID Connect your ORCID & Twitter account to ImpactStory profile Get DOI for your scholarship, if they don’t already have them Engage with people online about your scholarship Review your metrics for authenticity, completeness, accuracy Reflect how these metrics reflect your scholarship, engagement, professional goals

Resources Altmetrics for librarians: 100+ tips, tricks, and examples https://www.altmetric.com/libraries-ebook/ The Evolution of Impact Indicators: From bibliometrics to altmetrics http://scholasticahq.com/altmetrics-the-evolution-of-impact-indicators The Metric Tide. doi:10.13140/RG.2.1.4929.1363 NISO RP-25-2016 Outputs of the NISO Alternative Assessment Metrics Project http://www.niso.org/topics/tl/altmetrics_initiative/ Altmetrics Definitions & Use Cases Bibliography Haustein, S. (2016). Grand challenges in altmetrics: heterogeneity, data quality and dependencies. Scientometrics, 1-11. Sugimoto, C. R., Work, S., Larivière, V., & Haustein, S. (2016). Scholarly use of social media and altmetrics: a review of the literature. arXiv preprint arXiv:1608.08112. Haustein, S., & Larivière, V. (2015). The use of bibliometrics for assessing research: possibilities, limitations and adverse effects. In Incentives and performance (pp. 121-139). Springer International Publishing.

Digital Scholarship & Data Management Librarian Heather L. Coates Digital Scholarship & Data Management Librarian University Library Center for Digital Scholarship hcoates@iupui.edu https://ulib.iupui.edu/digitalscholarship/impact ORCID: 0000-0003-4290-6997 @IandPangarBan