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www.know-center.at
Altmetrics
Open Science – Technologie und Wissenschaft
Wien, 13. Jänner
Dr. Peter Kraker
2
AN EXPONENTIALLY
EXPANDING UNIVERSE
Part 1
3
The Hitchhiker‘s Guide to the Galaxy
3Know-Center GmbH • Research Center for Data-Driven Business and Big Data Analytics
4
How to Stay on Top of the Universe
4Know-Center GmbH • Research Center for Data-Driven Business and Big Data Analytics
5
How to Stay on Top of Scientific Literature
5Know-Center GmbH • Research Center for Data-Driven Business and Big Data Analytics
6
6Know-Center GmbH • Research Center for Data-Driven Business and Big Data Analytics
“One of the diseases of this age is the
multiplicity of books;
they doth so overcharge the world that it is not
able to digest the abundance of idle matter that
is every day hatched and brought forth into the
world.“
Attributed to Barnaby Rich in 1613
7
7Know-Center GmbH • Research Center for Data-Driven Business and Big Data Analytics
Price (1963)
8
SCIENTOMETRICS:
THE QUANTITATIVE
ANALYSIS OF SCIENCE
Part 2
9
Eugene Garfield: Pathways through Science
9Know-Center GmbH • Research Center for Data-Driven Business and Big Data Analytics
Science Citation Index (Garfield 1955)
 Web of Science/Web of Knowledge
An index of incoming citations
Outgoing citations
Incoming citations
10
10
Garfield et al.
(1964)
Know-Center GmbH • Research Center for Data-Driven Business and Big Data Analytics
11
11Know-Center GmbH • Research Center for Data-Driven Business and Big Data Analytics
12
12Know-Center GmbH • Research Center for Data-Driven Business and Big Data Analytics
Van Eck and Waltman
(2010)
13
Evaluative Scientometrics: Impact Factor
13Know-Center GmbH • Research Center for Data-Driven Business and Big Data Analytics
A measure to quantify the relative importance of a scientific
journal
The average number of citations in a given year y to papers of a
journal in the years y-1 and y-2
𝐼𝐹𝐽𝑜𝑢𝑟𝑛𝑎𝑙 𝑋, 2015 =
𝐶𝑖𝑡𝑎𝑡𝑖𝑜𝑛𝑠 𝑖𝑛 2015 𝑡𝑜
𝑎𝑟𝑡𝑖𝑐𝑙𝑒𝑠 𝑝𝑢𝑏𝑙𝑖𝑠ℎ𝑒𝑑 𝑏𝑦
𝐽𝑜𝑢𝑟𝑛𝑎𝑙 𝑋 𝑖𝑛
2013 𝑎𝑛𝑑 2014
𝑁𝑢𝑚𝑏𝑒𝑟 𝑜𝑓 𝑎𝑟𝑡𝑖𝑐𝑙𝑒𝑠
𝑝𝑢𝑏𝑙𝑖𝑠ℎ𝑒𝑑 𝑏𝑦 𝐽𝑜𝑢𝑟𝑛𝑎𝑙 𝑋
𝑖𝑛 2013 𝑎𝑛𝑑 2014
14
14Know-Center GmbH • Research Center for Data-Driven Business and Big Data Analytics
Source: Thomson Reuters
15
15Know-Center GmbH • Research Center for Data-Driven Business and Big Data Analytics
Journal X
Paper 1 Citations 15
Paper 2 Citations 17
Paper 3 Citations 14
Paper 4 Citations 18
Paper 5 Citations 15
Paper 6 Citations 15
Impact Factor 15.5
Median 15 2
Journal Y
100
2
1
2
1
2
18.0
Rank 2 1
16
Criticisms of the Impact Factor
16Know-Center GmbH • Research Center for Data-Driven Business and Big Data Analytics
Source: Amin & Mabe (2000)
17
Antidotes
17Know-Center GmbH • Research Center for Data-Driven Business and Big Data Analytics
„Blockbuster“ papers can skew the IF
Use robust statistics (e.g. the median)
Report variation in the data (CWTS Journal Indicators)
Publication and citation behavior varies wildly between fields
Source-normalised impact factor (SNIP)
The IF window is too short
3- and 5-year Impact Factors
18
Criticisms of citation-based metrics
18Know-Center GmbH • Research Center for Data-Driven Business and Big Data Analytics
Citations take very long to appear in meaningful quantities
Citation-based metrics are dependent on the corpus that is used
for calculation
Citations are mostly assigned to articles, leaving other products
of research out of the picture (data, code etc.)
Citation-based metrics are often intransparent and irreproducible
19
ALTMETRICS:
A NEW HOPE
Part 3
20
Setting the Stage for Alternative Metrics
20Know-Center GmbH • Research Center for Data-Driven Business and Big Data Analytics
Open Science and the publication of more research products
Increased use of online services in the scientific community
Source: figshare
21
Altmetrics
21Know-Center GmbH • Research Center for Data-Driven Business and Big Data Analytics
Altmetrics: metrics based on data generated in online systems
Seeing academic literature through the eyes of the readers (Rowlands
& Nicholas 2007)
Usage data (downloads, views, readership)
Links, likes and shares
Blogs and comments
Promises of altmetrics
Assess publications quicker and on a broader scale
Consider all outputs of research, not just papers
The altmetrics manifesto: http://altmetrics.org
22
22Know-Center GmbH • Research Center for Data-Driven Business and Big Data Analytics
http://zenodo.org/record/34079
23
23Know-Center GmbH • Research Center for Data-Driven Business and Big Data Analytics
http://www.altmetric.com/details/4822452
24
24Know-Center GmbH • Research Center for Data-Driven Business and Big Data Analytics
Source:
https://impactstory.org/Carl
Boettiger
25
25Know-Center GmbH • Research Center for Data-Driven Business and Big Data Analytics
26
26Know-Center GmbH • Research Center for Data-Driven Business and Big Data Analytics
http://openknowledgemaps.org
Kraker et al.
(2014)
27
27Know-Center GmbH • Research Center for Data-Driven Business and Big Data Analytics
http://stellar.know-center.tugraz.at/umap
Evolution of a Knowledge Domain
Kraker et al.
(2014)
28
The Emerging Open Digital Science Ecosystem
Bibliographic data – bibliometric data – full texts – open source software
29
CAVEATS
Part 4
30
30Know-Center GmbH • Research Center for Data-Driven Business and Big Data Analytics
31
31Know-Center GmbH • Research Center for Data-Driven Business and Big Data Analytics
32
32Know-Center GmbH • Research Center for Data-Driven Business and Big Data Analytics
Kraker & Lex
(2014)
33
The Leiden Manifesto: Ten Principles for Research
Metrics (Hicks et al. 2015)
1) Quantitative evaluation should support qualitative, expert
assessment
…
4) Keep data collection and analytical processes open,
transparent and simple
5) Allow those evaluated to verify data and analysis
…
9) Recognize the systemic effects of assessment and indicators
10) Scrutinize indicators regularly and update them
34
Further Reading
Blog: http://blog.wikimedia.de/2015/09/15/freies-wissen-und-
wissenschaft-teil-4-ueber-die-notwendigkeit-fuer-mehr-offenheit-
und-transparenz-in-der-qualitaetssicherung-und-evaluierung-
open-peer-review-und-open-metrics/
Publication: Kraker, P., & Lex, E. (2015). A Critical Look at the
ResearchGate Score as a Measure of Scientific Reputation.
In ASCW’15 Workshop at Web Science 2015.
doi:10.5281/zenodo.35401
Source Code: https://github.com/pkraker/Headstart
35
b
Thank you for your attention!
Peter Kraker
pkraker@know-center.at
Twitter: @PeterKraker

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Open Science Lecture: Altmetrics

  • 1. 1 b b www.know-center.at Altmetrics Open Science – Technologie und Wissenschaft Wien, 13. Jänner Dr. Peter Kraker
  • 3. 3 The Hitchhiker‘s Guide to the Galaxy 3Know-Center GmbH • Research Center for Data-Driven Business and Big Data Analytics
  • 4. 4 How to Stay on Top of the Universe 4Know-Center GmbH • Research Center for Data-Driven Business and Big Data Analytics
  • 5. 5 How to Stay on Top of Scientific Literature 5Know-Center GmbH • Research Center for Data-Driven Business and Big Data Analytics
  • 6. 6 6Know-Center GmbH • Research Center for Data-Driven Business and Big Data Analytics “One of the diseases of this age is the multiplicity of books; they doth so overcharge the world that it is not able to digest the abundance of idle matter that is every day hatched and brought forth into the world.“ Attributed to Barnaby Rich in 1613
  • 7. 7 7Know-Center GmbH • Research Center for Data-Driven Business and Big Data Analytics Price (1963)
  • 9. 9 Eugene Garfield: Pathways through Science 9Know-Center GmbH • Research Center for Data-Driven Business and Big Data Analytics Science Citation Index (Garfield 1955)  Web of Science/Web of Knowledge An index of incoming citations Outgoing citations Incoming citations
  • 10. 10 10 Garfield et al. (1964) Know-Center GmbH • Research Center for Data-Driven Business and Big Data Analytics
  • 11. 11 11Know-Center GmbH • Research Center for Data-Driven Business and Big Data Analytics
  • 12. 12 12Know-Center GmbH • Research Center for Data-Driven Business and Big Data Analytics Van Eck and Waltman (2010)
  • 13. 13 Evaluative Scientometrics: Impact Factor 13Know-Center GmbH • Research Center for Data-Driven Business and Big Data Analytics A measure to quantify the relative importance of a scientific journal The average number of citations in a given year y to papers of a journal in the years y-1 and y-2 𝐼𝐹𝐽𝑜𝑢𝑟𝑛𝑎𝑙 𝑋, 2015 = 𝐶𝑖𝑡𝑎𝑡𝑖𝑜𝑛𝑠 𝑖𝑛 2015 𝑡𝑜 𝑎𝑟𝑡𝑖𝑐𝑙𝑒𝑠 𝑝𝑢𝑏𝑙𝑖𝑠ℎ𝑒𝑑 𝑏𝑦 𝐽𝑜𝑢𝑟𝑛𝑎𝑙 𝑋 𝑖𝑛 2013 𝑎𝑛𝑑 2014 𝑁𝑢𝑚𝑏𝑒𝑟 𝑜𝑓 𝑎𝑟𝑡𝑖𝑐𝑙𝑒𝑠 𝑝𝑢𝑏𝑙𝑖𝑠ℎ𝑒𝑑 𝑏𝑦 𝐽𝑜𝑢𝑟𝑛𝑎𝑙 𝑋 𝑖𝑛 2013 𝑎𝑛𝑑 2014
  • 14. 14 14Know-Center GmbH • Research Center for Data-Driven Business and Big Data Analytics Source: Thomson Reuters
  • 15. 15 15Know-Center GmbH • Research Center for Data-Driven Business and Big Data Analytics Journal X Paper 1 Citations 15 Paper 2 Citations 17 Paper 3 Citations 14 Paper 4 Citations 18 Paper 5 Citations 15 Paper 6 Citations 15 Impact Factor 15.5 Median 15 2 Journal Y 100 2 1 2 1 2 18.0 Rank 2 1
  • 16. 16 Criticisms of the Impact Factor 16Know-Center GmbH • Research Center for Data-Driven Business and Big Data Analytics Source: Amin & Mabe (2000)
  • 17. 17 Antidotes 17Know-Center GmbH • Research Center for Data-Driven Business and Big Data Analytics „Blockbuster“ papers can skew the IF Use robust statistics (e.g. the median) Report variation in the data (CWTS Journal Indicators) Publication and citation behavior varies wildly between fields Source-normalised impact factor (SNIP) The IF window is too short 3- and 5-year Impact Factors
  • 18. 18 Criticisms of citation-based metrics 18Know-Center GmbH • Research Center for Data-Driven Business and Big Data Analytics Citations take very long to appear in meaningful quantities Citation-based metrics are dependent on the corpus that is used for calculation Citations are mostly assigned to articles, leaving other products of research out of the picture (data, code etc.) Citation-based metrics are often intransparent and irreproducible
  • 20. 20 Setting the Stage for Alternative Metrics 20Know-Center GmbH • Research Center for Data-Driven Business and Big Data Analytics Open Science and the publication of more research products Increased use of online services in the scientific community Source: figshare
  • 21. 21 Altmetrics 21Know-Center GmbH • Research Center for Data-Driven Business and Big Data Analytics Altmetrics: metrics based on data generated in online systems Seeing academic literature through the eyes of the readers (Rowlands & Nicholas 2007) Usage data (downloads, views, readership) Links, likes and shares Blogs and comments Promises of altmetrics Assess publications quicker and on a broader scale Consider all outputs of research, not just papers The altmetrics manifesto: http://altmetrics.org
  • 22. 22 22Know-Center GmbH • Research Center for Data-Driven Business and Big Data Analytics http://zenodo.org/record/34079
  • 23. 23 23Know-Center GmbH • Research Center for Data-Driven Business and Big Data Analytics http://www.altmetric.com/details/4822452
  • 24. 24 24Know-Center GmbH • Research Center for Data-Driven Business and Big Data Analytics Source: https://impactstory.org/Carl Boettiger
  • 25. 25 25Know-Center GmbH • Research Center for Data-Driven Business and Big Data Analytics
  • 26. 26 26Know-Center GmbH • Research Center for Data-Driven Business and Big Data Analytics http://openknowledgemaps.org Kraker et al. (2014)
  • 27. 27 27Know-Center GmbH • Research Center for Data-Driven Business and Big Data Analytics http://stellar.know-center.tugraz.at/umap Evolution of a Knowledge Domain Kraker et al. (2014)
  • 28. 28 The Emerging Open Digital Science Ecosystem Bibliographic data – bibliometric data – full texts – open source software
  • 30. 30 30Know-Center GmbH • Research Center for Data-Driven Business and Big Data Analytics
  • 31. 31 31Know-Center GmbH • Research Center for Data-Driven Business and Big Data Analytics
  • 32. 32 32Know-Center GmbH • Research Center for Data-Driven Business and Big Data Analytics Kraker & Lex (2014)
  • 33. 33 The Leiden Manifesto: Ten Principles for Research Metrics (Hicks et al. 2015) 1) Quantitative evaluation should support qualitative, expert assessment … 4) Keep data collection and analytical processes open, transparent and simple 5) Allow those evaluated to verify data and analysis … 9) Recognize the systemic effects of assessment and indicators 10) Scrutinize indicators regularly and update them
  • 34. 34 Further Reading Blog: http://blog.wikimedia.de/2015/09/15/freies-wissen-und- wissenschaft-teil-4-ueber-die-notwendigkeit-fuer-mehr-offenheit- und-transparenz-in-der-qualitaetssicherung-und-evaluierung- open-peer-review-und-open-metrics/ Publication: Kraker, P., & Lex, E. (2015). A Critical Look at the ResearchGate Score as a Measure of Scientific Reputation. In ASCW’15 Workshop at Web Science 2015. doi:10.5281/zenodo.35401 Source Code: https://github.com/pkraker/Headstart
  • 35. 35 b Thank you for your attention! Peter Kraker pkraker@know-center.at Twitter: @PeterKraker