The document discusses Plum Analytics, a company that provides tools to measure the impact of scholarly research using altmetrics. It outlines the limitations of traditional citation metrics and describes how Plum aggregates metrics from various sources to provide a more comprehensive view of a researcher's impact through usage, captures, mentions, social media, and citations of their work. Plum builds profiles of individual researchers and groups, associates their research artifacts, and provides visual summaries and comparisons of metrics to measure impact beyond publications.

1. Mike Buschman, Co-founder
mike@plumanalytics.com
@plumanalytics
Using Plum to
Assess Research Impact
October 30, 2012

2. Current State of Scholarly Measure
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3. Reality of Scholarly Communication
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4. Plum Analytics Confidential
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5. Changing the focus on metrics
how much your
COUNTER university uses
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the collection
Article-level how much the
metrics and world uses your
research
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6. Metrics are not the same
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7. Different categories of impact
• Usage
• Downloads, views, book holdings, ILL, document
delivery
• Captures
• Favorites, bookmarks, saves, readers, groups, watchers
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• 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 7
Academic Search, patents

8. Different versions and links
Institutional Researcher
arxiv.org PLOS repository website
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Link Bit.ly DOI Direct
resolver link
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9. #altmetrics
allmetrics
altmetrics
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10. 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,
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etc. will be captured and correlated.
This graph will power intuitive
research directories and
visualizations at the artifact,
researcher, lab, department,
publication, and institution level.
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11. Plum Impact Reports
• Measure people, labs, departments,
institutes, universities, museums,
journals, etc.
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12. Measuring the Modern Researcher
Nicolas Pinto – PhD from MIT in 2010
• Some of his research is published.
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• What other research is Pinto doing? How is his
research being used? Promoted? Interacted with?
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• What is Pinto’s real scientific impact?

13. Comparisons
• He tweets:
• He shares, and it is measurable:
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• 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 13
• Google Citations does not list him yet

14. 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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15. Fully Customizable Hierarchy
Group researchers
in flexible hierarchy
for your own
purposes
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16. Create User and Group Profiles
Web-based tools to
create a profile for
each group and
researcher
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Plum can also import
profiles from existing 16
systems

17. Associate Artifacts
Artifacts can be associated with
a researcher and/or a group
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Each section can be
expanded to fill in details. 17

18. Research Output Summarized
Clear, visual summaries of each researcher’s or group’s output
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19. Tabular View
Sortable, table-view of full output.
Exportable to spreadsheets or integrated into other applications.
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20. Visualizations of Output
Sunburst chart
shows the
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relative
impact of all
output for a
researcher.
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21. Thank You!
Mike Buschman
mike@plumanalytics.com
206-331-7297
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