1. Publishing and ‘impact’
Information Literacy PhD students

2. Programme
 Publishing
 Metrics
● Article metrics
● Author metrics
● Journal metrics
● Research group metrics

3. Programme
 Publishing
 Metrics
● Article metrics
● Author metrics
● Journal metrics
● Research group metrics

4. Motives for publishing
Edge, P., Martin, F., Fao, S. R., & Manning, N. (2011).
Researcher Attitudes and Behaviour Towards the “ Openness ” of Research Outputs in
Agriculture and Related Fields.

5. Motives for publishing

6. Choosing the right journal to publish
 Many factors influence journal selection
● Journal scope/Intended audience
● Editorial board/standing
● Open Access
● The speed of reviewing and publication
● Acceptance/Rejection rate
● Journal circulation
● Coverage in A&I databases (bibliographies)
● Journal performance

7. Information "about" journals

8. Open Access
 OA publishing e.g. PLoS, BMC and Sage Open
 Self-archiving in repositories e.g. Wageningen Yield
(WaY)
 SHERPA/RoMEO: Publisher copyright policies & self-archiving
http://www.sherpa.ac.uk/romeo/
 Directory of open access journals DOAJ (currently ca.
10,000 journals)
 Be aware of predatory OA publishers

9. “Predatory publishers”

10. “Green” open access: deposit author
versions to WaY
See: http://edepot.wur.nl/169331
Send your version of the article to: way.libray@wur.nl

11. Speed of publication
 PLoS One
 Euphytica

12. Rejection / acceptance rates
 Sugimoto, C. R., Larivière, V., Ni, C., & Cronin, B. (2013). Journal acceptance rates: A cross-disciplinary analysis of
variability and relationships with journal measures. Journal of Informetrics, 7(4), 897–906. doi:10.1016/j.joi.2013.08.007

13. Rejection / acceptance rates

14. Rejection / acceptance rates

15. Journal circulation
 Compare e.g.
● “Agricultural Systems”
● "Proceedings of the National Academy of Sciences
of the United States of America"

16. Coverage in A&I databases

17. Making your publications known:
networking

18. Networking is important
 Start early, make use of Social Networking tools
● Facebook
● LinkedIn
● Social networks for scientists
● Academia.edu, Researchgate.net

19. Imagine what happens when Michael
Müller tweets about his latest article

20. Advertise yourself
 Cite your previous articles!
 Be active at conferences
 Cooperate with other people/research groups
 Write, or expand, articles in the Wikipedia, refer to your
thesis.
 Blog or tweet about your research and thesis research
 Make use of social networking tools (LinkedIn,
Researchgate.net, Mendeley etc.)
 Create author’s identifiers (ScopusID, Researcher ID,
ORCID)

21. Claim your publications
 ResearcherID (Web of Science)
 Scopus Author ID (Scopus)
 Google Scholar Citations
 Mendeley
Enserink, M. (2009). Scientific Publishing: Are You Ready to Become a Number? Science,
323(5922): 1662-1664 http://dx.doi.org/10.1126/science.323.5922.1662
 ORCID
● http://orcid.scopusfeedback.com/

24. What's in a name
 On the cover:
● Arina Schrier
 First first title page:
● A.P. Schrier-Uyl
 Second title page:
● Adriana Pia Uyl
 In here own publication list
● A. Uyl
● A. Uijl
● A.P. Schrier Uyl

25. This also applies to the names of groups
Environmental Policy Group, Department of Social Sciences, Wageningen University
Environmental Policy Group, Wageningen University
Environmental Policy Group, Wageningen University and Research Centre
Environmental Policy Group, Wageningen UR

26. Get your affiliation right
For the university:
Chair group + Wageningen University
Plant Production Systems Group, Wageningen University,
P.O. box ..., 6700 HA Wageningen, The Netherlands
For the institutes:
Institute + Wageningen University & Research Centre
Alterra, Wageningen University & Research Centre, P.O.
box ..., 6700 HA Wageningen, The Netherlands

27. Some other options to make you articles
effective
Apart from doing good research and writing
well, that is

28. Collaboration with private sector effective
Kamalski, J., & Aisati, M. h. (2013). International comparative benchmark of Dutch research
performance in TKI themes: Food Safety research. A report prepared by Elsevier for Agentschap NL.

29. University-industry collaboration and impact
"The average scientific impact of university-industry
papers is significantly above that of
both university-only papers and industry-only
papers"
Lebeau, L. M., Laframboise, M. C., Larivière, V., & Gingras, Y. (2008). The effect of university-industry
collaboration on the scientific impact of publications: The Canadian case, 1980-2005. Research
Evaluation, 17(3), 227-232. http://dx.doi.org/10.3152/095820208x331685

30. Choosing journals with High Impact
factors?

31. More co-authors?

32. References?
Recent articles! N. Onodera and F. Yoshikane, “Factors affecting citation rates of
research articles,” J. Assoc. Inf. Sci. Technol. Jun. 2014.

33. Self citations and more

34. Self citations
The model [...] implies that external citations are
enhanced by self-citations, so that we have the
“chain reaction:” Larger size leads to more self-citations,
which lead to more external citations.
van Raan, A. F. J. (2008). Self-citation as an impact-reinforcing mechanism in the
science system. Journal of the American Society for Information Science and
Technology 59(10): 1631-1643.
11/28

35. More articles per research project?
 Publishing more articles results in higher citation counts
if the articles provide sufficient substantive content to
other researchers.
● Beware of the ethical standards
● Bornmann looked at total citations, not to relative
impact
Bornmann, L. & H.-D. Daniel (2007). Multiple publication on a single research study:
Does it pay? The influence of number of research articles on total citation counts in
biomedicine. Journal of the American Society for Information Science and
Technology, 58(8): 1100-1107 http://dx.doi.org/10.1002/asi.20531

36. Publish your data!
 Henneken et al. (2011) "articles with links to data result
in higher citation rates than articles without such links"
http://arxiv.org/abs/1111.3618
 Piwowar et al. (2007) "Sharing detailed research data is
associated with increased citation rate
http://dx.doi.org/10.1371/journal.pone.0000308
 Library assists in curating datasets

37. Exercises
 Manual Chapter 9.8
● Exercise 1

38. Programme
 Publishing
 Metrics
● Article metrics
● Author metrics
● Journal metrics
● Research group metrics

39. Web of Science
 Search:
● Articles are found based on Authors, Addresses,
etc.
● For each article Times cited is presented
 Cited reference search:
● Searches in the reference lists of records
● Not all of your articles are found. Non-cited articles
are missing

40. Beeldvullende foto met titel

41. How do we compare numbers
 Scientist Z. Math has a publication from 2003 with 17
citations
 Scientist M. Biology has a publication from 2009 with 24
citations

42. Baselines for Mathematics

43. Baselines for Molecular Biology
400
300
200
100
0
0 2 4 6 8 10 12
Years after publication
Cumulative no. citations
Baseline
top 10%
top 1%

44. Citation enhanced A&I databases
 Web of Science
● Based on ± 12000 journals
● Metrics: Impact factor
● Baselines per ‘discipline’ (ESI)
● Analysis tools (Insight)
 Scopus
● Based on ± 19000 journals + other
publication types
● Metrics: SNIP and SJR
● Baselines + analysis tool (Scival)
 Google Scholar (http://scholar.google.com)
● Based on unknown journals + many
other things
● No baselines
There are other citation
enhanced databases:
PsychInfo,
SciFinder (Chemical abstracts)
ArXiv (Physics)
Spires (high energy physics)
Citeseer (ICT)

45. Programme
 Publishing
 Metrics
● Article metrics
● Author metrics
● Research group metrics

46. Bibliometric indicators: An example
 Kroes-Nijboer, A; Venema, P; Bouman, J; van der Linden, E
(2009) The Critical Aggregation Concentration of beta-
Lactoglobulin-Based Fibril Formation. Food Biophysics 4(2):59-
63.
● Citations from WoS: 11
 Journal: Food Biophysics
● Categorised by ESI in Agricultural Sciences
 Baseline data for Agricultural Sciences.
● Article from 2009 in Agricultural Sciences:
● On average: 5.47 citations; top 10%: 14 citations; top
1%: 34 citations
 Relative Impact: 11/5.47 = 2.01 Values June 2013

47. Essential Science Indicators (ESI)
 Analytical database, covering 10 years + current year
building
 Comparisons between Countries, Institutes, Scientists
and Journals
 Hot papers / Highly cited papers
 Research fronts
 Baselines

48. ESI Baselines

49. Alternative to ESI: Scival (Elsevier)

50. Alternative to ESI: Scival (Elsevier)

51. Steps in a citation analysis
1. Look up the citation data (Web of Science)
2. Matching Journal(s) with appropriate research fields
(Essential Science Indicators)
3. Collect baseline data (Essential Science Indicators)
4. Calculate the relative impact

52. Exercises
 Manual Chapter 9.8
● Exercise 2: Number of publications and times cited
● Exercise 2.1
● Exercise 2.2 is optional

53. Exercises
 Manual Chapter 9.8
● Exercise 3: Citation impact and rankings (Essential
Science Indicators)
● Exercise 3.1a (3.1b optional)

54. Programme
 Publishing
 Metrics
● Article metrics
● Author metrics
● Journal metrics
● Research group metrics

55. H-index
 Balance between productivity
and citedness
 To rule out the effect of one
or two highly cited papers
 Applicable to authors,
journals, research groups,
compounds, subjects etc.
 But there are some serious
doubts about robustness
Waltman, L. & N. J. van Eck (2011). The inconsistency of
the h-index. Journal of the American Society for
Information Science and Technology 63(2):406-415
http://dx.doi.org/10.1002/asi.21678

56. H-index

57. Omnipresent h-index
54 47
57

58. Programme
 Publishing
 Metrics
● Article metrics
● Author metrics
● Journal metrics
● Research group metrics

59. Journal Performance Indicators
 Journal performance indicators are based on citations to
articles
 Journal Citation Reports (JCR)
● a.o. standard Journal Impact Factors and 5-year
Impact Factors
 Scopus Journal Analyzer (SJA)
● a.o. SCImago Journal Rank (SJR) and Source
Normalized Impact per Paper (SNIP)
● Also available on http://journalmetrics.com/

60. Journal Citation Reports (JCR)
Reports three measures
 Impact factor
 Immediacy Index
 Cited half life
Adapted from: Amin, M and Mabe, M. (2000) Impact factors: use
and abuse. Perspectives in Publishing, No. 1, 6 pp.
http://www.elsevier.com/framework_editors/pdfs/Perspectives1.pdf

61. IF in 2011 for Agricultural Systems

62. Selecting journals on the basis of IF
 Word of warning
● Our opinion: Be careful when using Journal Impact
factors to judge the performance of a group or
individual scientist
● Used for NWO grant applications and Tenure track
at Wageningen UR
Opthof, T. (1997) Sense and nonsense about he impact factor. Cardiovascular Research,
33(1): 1-7 http://dx.doi.org/10.1016/S0008-6363(96)00215-5

63. Q1
Q2
Q3
Q4

64. Exercises
 Manual Chapter 9.8
● Exercise 4: Journal Citation Reports (JCR)

65. Programme
 Publishing
 Metrics
● Article metrics
● Author metrics
● Journal metrics
● Research group metrics

66. Journal quality and article impact 2003-
2009, for Wageningen UR
Source: Wageningen Yield, Feb. 2012

67. Bibliometric analysis

68. Increase in share of Q1 articles at
WageningenUR

69. Journal selection affects Relative Impact

70. Journal selection affects Relative Impact
2010
2011
2003

71. Interpretation of RI for small groups
 With 10-50 publications per year
RI ≤ 0.8 : below world average impact
0.8 < RI ≤ 1.2 : world average impact
1.2 < RI ≤ 2.0 : above world average impact
2.0 < RI ≤ 3.0 : very good average impact
RI > 3.0 : excellent average impact

72. Exercises

● Exercise 5: (Group) Bibliometric analysis

73. Thank you!
http://www.slideshare.net/hugobesemer