Mike Buschman, Co-founder [email protected] @plumanalytics Using Plum to Assess Research Impact October 30, 2012
Jun 19, 2015
Mike Buschman, [email protected]
@plumanalytics
Using Plum toAssess Research Impact
October 30, 2012
Plum Analytics Confidential 2
Current State of Scholarly Measure
Plum Analytics Confidential 3
Reality of Scholarly Communication
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Changing the focus on metrics
COUNTER how much your university uses the collection
Article-level metrics and
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how much the world uses your
research
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Metrics are not the same
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Different categories of impact• Usage• Downloads, views, book holdings, ILL, document
delivery• Captures• Favorites, bookmarks, saves, readers, groups, watchers
• Mentions• Blog post, news story, Wikipedia article, comments,
review• Social Media• Tweets, Google +1s, likes, shares, ratings
• Citations• Web of Science, Scopus, Google Scholar, Microsoft
Academic Search, patents
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Different versions and links
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arxiv.org PLOSInstitutional repository
Researcher website
Link resolver
Bit.lyDirect link
DOI
altmetrics
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#altmetricsallmetrics
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What is Plum building?• Next generation impact analysis metrics for scholarly research.• Aggregating artifact and author level metrics into a research
reputation graph.• Clicks, views, tweets, likes, links, tags, favorites, Google +1’s,
etc. will be captured and correlated.
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This graph will power intuitive research directories and visualizations at the artifact, researcher, lab, department, publication, and institution level.
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Plum Impact Reports•Measure people, labs, departments, institutes, universities, museums, journals, etc.
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Measuring the Modern Researcher
Nicolas Pinto – PhD from MIT in 2010• Some of his research is published.
• What other research is Pinto doing? How is his research being used? Promoted? Interacted with?
• What is Pinto’s real scientific impact? 12
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Comparisons• He tweets:
• He shares, and it is measurable:• 1,204 slideshare views• 26 tweets• 2 Google +1• 3 LinkedIn Shares• 1 Facebook Share, 1 like, 1 comment
• All before his research is “published”• Web of Science cited-by count = 2 in 3 years• Google Citations does not list him yet
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Categories of Impact
Plum allows you to drill into the specifics behind each type of impact.
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Clicking on any category shows more detailed metrics.
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Fully Customizable Hierarchy
Group researchers in flexible hierarchy
for your own purposes
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Create User and Group Profiles
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Web-based tools to create a profile for
each group and researcher
Plum can also import profiles from existing
systems
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Associate Artifacts
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Artifacts can be associated with a researcher and/or a group
Each section can be expanded to fill in details.
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Research Output Summarized
Clear, visual summaries of each researcher’s or group’s output
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Tabular ViewSortable, table-view of full output.
Exportable to spreadsheets or integrated into other applications.
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Visualizations of Output
Sunburst chart shows the
relative impact of all output for a researcher.
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