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Measuring Scholarly and Public Impact: Let’s Talk Metrics
Rachel Borchardt Monday, May 16th, 2017 Conference for High-Impact Research
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Why metrics? Quantifiable measures of research impact
Differentiate articles, journals, authors, institutions Imperfect calculations of a fuzzy concept
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How are metrics used? Evaluate researchers: Hiring Tenure/promotion
Merit awards Grant funding Benchmark programs and institutions Image from AU Faculty Manual,
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What are metrics Traditional Bibliometrics Based on citation counts
Emerging Altmetrics Based on online tools Image from Plum Analytics
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Categories of bibliometrics
Article-level Journal-level Author-level Institutional-level
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Traditional bibliometrics for journals
Impact Factor and Citation Counts, created to measure Journals and journal articles Scholarly (journal) impact Initially created for librarians, then largely adopted by STEM Image from Journal Citation Reports (library database)
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Some Impact Factor limitations
Retrospective measurement Narrow measurement Confined by what is indexed as a citation Can’t be compared between disciplines Other known issues: language, co-authorship, disproportionate article citation impact Image from Essential Science Indicators (library database)
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One way to correct – disciplinary context
Image from Journal Citation Reports (library database)
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Contextual limitations – “Political Science” category
List from
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Other major bibliometrics
Metrics from Web of Science: Eigenfactor, Immediacy Index, Cited Half-Life Metrics from Elsevier/Scopus: SJR, SNIP, IPP, CiteScore Metrics from Google Scholar: H5-index, H5-median Image from
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SJR comparison – “Political Science and International Relations”
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H5-index comparison – Political Science
List from Google Scholar Metrics
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Another alternative – citation distributions
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Why altmetrics? Measures broader scholarly outputs
Books, presentations, data sets, software code, and more More measures of scholarship Views, downloads, shares, mentions in blogs, policy papers, and more More immediate metrics Measures beyond scholarly impact Policy, public, and more
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What are altmetrics? Definition: The creation and study of new metrics based on the social web for analyzing and informing scholarship. Altmetrics.org My definition: The umbrella classification of non-citation based metrics. ;
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Categories of altmetrics
Article-level [individual work] Journal-level Author-level Institutional-level
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Where do altmetrics come from?
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How do we collect altmetrics?
Directly from the individual tools From publishers (views, download data) From (some) library databases From scholarly networks Through aggregating tools Slideshare views PLOS article metrics Web of Science usage ResearchGate metrics Altmetric metrics
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“Impact” and metrics Inherently fuzzy and subjective Attention
Engagement Some correlate to bibliometrics; some don’t
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Deciphering impact - ImpactStory
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ImpactStory contextual elements
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Deciphering impact from tools - Altmetric
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Altmetric contextual elements
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Impact correlations
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Discipline-specific impact
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Limitations of impact: example
objectives/topic/Adolescent-Health +young+adult+health+in+the+United+States%22+site%3A.gov&oq= %22Trends+in+adolescent+and+young+adult+health+in+the+United +States%22+site%3A.gov&aqs=chrome..69i j0j8&sourceid=chr ome&ie=UTF-8
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Current uses of altmetrics
External Applying for funding, promotion/tenure Showcasing achievements Internal Better understand engagement with research Who, why, where
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More on grant funders
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Grant funders: NSF Broader Impacts
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Grant funders: Wellcome Trust
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Putting it all together - suggestions
Develop personal impact goals Discipline-specific, research-specific, university-specific, etc. Demonstrate achievement of those goals Tell your story Bibliometrics, altmetrics, and qualitative measures Complementary roles Track early and often!
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Getting help Rachel Borchardt borchard@american.edu 202-885-3657
(I work year-round!) Metrics guide, Borrow a copy of my book
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Questions?
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