Nothing Special   »   [go: up one dir, main page]
Skip to main content
Springer Nature Link
Log in

Scholarly Output Graph: A Graphical Article-Level Metric Indicating the Impact of a Scholar’s Publications

  • Conference paper
  • First Online:
Advanced Data Mining and Applications (ADMA 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10086))

Included in the following conference series:

Abstract

Statistically, top scholars tend to accumulate a large number of publications during their tenure. While the patterns illustrating their scientific impact are monotonous and it is difficult to get a concrete comprehension to the academic development of the scholars’ output. So we address the issue of graphically presenting and comparing the impact of individual scholars’ publications. Besides, with the development of Web 2.0, more information about the social impact of a scholar’s work is becoming increasingly available and relevant. Thus comes the challenge of how to quickly compare among a scholar’s entire collection of publications, and pinpoint those with higher social popularity as well as academic influence. To this end, we propose a graphical article-level metric, namely Scholarly Output Graph (SOG). SOG captures three dimensions including journal impact factor (JIF), scientific impact and social popularity, and reflects not only the quality of the publications but also the immediate responses from social networks. With the visual cues of block length, width and color, users can intuitively locate articles of higher scientific impact, JIF and social popularity. Additionally, SOG proves to be widely applicable, practical and flexible as a navigation tool for filtering publications. To demonstrate the usability of SOG, we design a literature navigation homepage with a list of 50 researchers in computer science with their individual scholarly output graphs and the results can be found at http://impact.linkscholar.org/SOGExample.html.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Bar-Ilan, J., Haustein, S., Peters, I., Priem, J., Shema, H., Terliesner, J.: Beyond citations: Scholars’ visibility on the social web. In: Proceedings of 17th International Conference on Science and Technology Indicators. 52900, pp. 98–109 (2012)

    Google Scholar 

  2. Haendel, M.A., Vasilevsky, N.A., Wirz, J.A.: Dealing with data: a case study on information and data management literacy. J. PLoS biol. 10(5), e1001339 (2012)

    Article  Google Scholar 

  3. Alexander, R., Sarah, D.R.: Accounting for Impact? the journal impact factor and the making of biomedical research in the Netherlands. J. Minerva 53(2), 117–139 (2015)

    Article  Google Scholar 

  4. Elliott, D.B.: The impact factor: a useful indicator of journal quality or fatally flawed? J. Ophthalmic Physiol. Optics 34(1), 4–7 (2014)

    Article  Google Scholar 

  5. Kamat, P.V., Schatz, G.C.: Journal impact factor and the real impact of your paper. J. Phys. Chem. Lett. 6(15), 3074–3075 (2015)

    Article  Google Scholar 

  6. Wenli, G.: Beyond journal impact and usage statistics: using citation analysis for collection development. Serials Libr. Printed Page Digital Age 70(1–4), 121–127 (2016)

    Google Scholar 

  7. Hirsch, J.: An index to quantify an individual’s scientific research output. Proc. Nat. Acad. Sci. 102(46), 16569–16572 (2005)

    Article  Google Scholar 

  8. Ball, P.: Index aims for fair ranking of scientists. Nature 436, 900 (2005)

    Article  Google Scholar 

  9. Glanzel, W.: On the opportunities and limitations of the h-index. Sci. Focus 1, 10–11 (2006)

    Google Scholar 

  10. Alonso, S., Cabrerizo, F.J., Herrera-Viedma, E., et al.: h-Index: a review focused in its variants.computation and standardization for different scientific fields. J. Informetrics 3(4), 273–289 (2009)

    Article  Google Scholar 

  11. Bar-Ilan, J., Levene, M.: The hw-rank: An h-index variant for ranking web pages. Scientometrics 102(3), 2247–2253 (2015)

    Article  Google Scholar 

  12. Van Eck, N.J., Waltman, L., van Raan, A.F.J., et al.: Citation analysis may severely underestimate the impact of clinical research as compared to basic research. PLoS One 8(4), e62395 (2013)

    Article  Google Scholar 

  13. Das, A.K., Mishra, S.: Genesis of altmetrics or article-level metrics for measuring efficacy of scholarly communications: Current perspectives. Scientometrics 39(2), 1–16 (2014)

    Google Scholar 

  14. Martin, F.: What can article-level metrics do for you? PLoS Biol. 10(11), e1001687 (2013)

    Google Scholar 

  15. Neylon, C.: Article-level metrics and the evolution of scientific impact. PLoS Biol. 7(11), e1000242 (2009)

    Article  Google Scholar 

  16. Shema, H., Bar-Ilan, J., Thelwall, M.: Do blog citations correlate with a higher number of future citations? Research blogs as a potential source for alternative metrics. J. Assoc. Inf. Sci. Technol. 65(5), 1018–1027 (2014)

    Article  Google Scholar 

  17. Lu, Z.: PubMed and beyond: a survey of web tools for searching biomedical literature. Database 2011(1), 56–65 (2011)

    Google Scholar 

  18. Priem, J., Hemminger, B.H.: Scientometrics 2.0: new metrics of scholarly impact on the social web. First Monday 15(7) (2010)

    Google Scholar 

  19. Liu, Y., Huang, Z., Yan, Y., et al.: Science Navigation Map: an interactive data mining tool for literature analysis. In: Proceedings of the 24th International Conference on World Wide Web Companion, International World Wide Web Conferences Steering Committee, pp. 591–596 (2015)

    Google Scholar 

  20. Adie, E., Roe, W.: Altmetric: enriching scholarly content with article-level discussion and metrics. Learn. Publish. 26(1), 11–17 (2013)

    Article  Google Scholar 

  21. Thelwall, M., Haustein, S., Larivire, V., et al.: Do altmetrics work? Twitter and ten other social web services (2013)

    Google Scholar 

  22. Haustein, S., Siebenlist, T.: Applying social bookmarking dat to evaluate journal usage. J. Informetrics 5(3), 446–457 (2011)

    Google Scholar 

  23. Gunn, W.: Social signals reflect academic impact: what it means when a scholar adds a paper to Mendeley. Inf. Stand. Q. 25(2), 33–39 (2013)

    Article  Google Scholar 

  24. Liu, Y., Huang, Z., Fang, J., Yan, Y.: An article level metric in the context of research community. In: Proceedings of the companion publication of the 23rd international conference on World Wide Web companion, pp. 1197–1202. International World Wide Web Conferences Steering Committee (2014)

    Google Scholar 

  25. Eysenbach, G.: Can tweets predict citations? Metrics of social impact based on twitter and correlation with traditional metrics of scientific impact. J. Med. Internet Res. 13(4), e123 (2011)

    Article  Google Scholar 

  26. Weller, K., Puschmann, C.: Twitter for scientific communication: how can citations/ references be identified and measured. In: Proceedings of the ACM WebSci 2011, pp. 1–4 (2011)

    Google Scholar 

  27. Thelwall, M., Tsou, A., Weingart, S., Holmberg, K., Haustein, S.: Tweeting links to academic articles. Cybermetrics: Int. J. Scientometrics Informetrics Bibliometrics 17, 1–8 (2013)

    Google Scholar 

  28. Bollen, J., Van de Sompel, H., Smith, J.A., Luce, R.: Toward alternative metrics of journal impact: a comparison of download and citation data. Inf. Process. Manage. 41(6), 1419–1440 (2005)

    Article  Google Scholar 

  29. Zahedi, Z., Costas, R., Wouters, P.: How well developed are altmetrics? A cross-disciplinary analysis of the presence of alternative metrics in scientific publications. Scientometrics 101(2), 1491–1513 (2014)

    Article  Google Scholar 

  30. Zahedi, Z., Fenner, M., Costas, R.: How consistent are altmetrics providers? Study of 1000 PLoS ONE publications using the PLOS ALM, Mendeley and Altmetric.com APIs. In altmetrics 14. Workshop at the Web Science Conference. Bloomington, USA (2014)

    Google Scholar 

  31. Li, X., Thelwall, M., Giustini, D.: Validating online reference managers for scholarly impact measurement. Scientometrics 91(2), 461–471 (2012)

    Article  Google Scholar 

  32. Ling, X., Liu, Y., Huang, Z., Shah, P.K., Li, C.: A graphical article-level metric for intuitive comparison of large-scale literatures. Scientometrics 106(1), 41–50 (2015)

    Article  Google Scholar 

  33. Alhoori, H., Kanan, T., Fox, E.A., Furuta, R., Giles, C.L., Pennsylvania, T.: On the relationship between open access and altmetrics. In: iConference 2015 Proceedings, pp. 1–8 (2015)

    Google Scholar 

  34. Bornmann, L.: What do altmetrics counts mean? A plea for content analyses. J. Assoc. Inf. Sci. Technol. 67(4), 1016–1017 (2016)

    Article  Google Scholar 

  35. Bornmann, L.: Alternative metrics in scientometrics: a meta-analysis of research into three altmetrics. Scientometrics 103(3), 1123–1144 (2015)

    Article  Google Scholar 

Download references

Acknowledgements

This work was supported in part by the Natural Science Foundation of China grant 61300087,61502069, 61672128; the Natural Science Foundation of Liaoning grant 2015020003; and by the Fundamental Research Funds for the Central Universities grant DUT15QY40, DUT16ZD(G)02.

Author information

Authors and Affiliations

  1. School of Software, Dalian University of Technology, Dalian, 116620, China

    Yu Liu, Dan Lin, Jing Li & Shimin Shan

  2. Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province, Dalian, 116620, China

    Yu Liu, Dan Lin, Jing Li & Shimin Shan

Authors
  1. Yu Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Dan Lin
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Jing Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Shimin Shan
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Yu Liu .

Editor information

Editors and Affiliations

  1. University of Technology , Sydney, New South Wales, Australia

    Jinyan Li

  2. University of Queensland , Brisbane, Australia

    Xue Li

  3. Beijing Institute of Technology , Beijing, China

    Shuliang Wang

  4. University of Western Australia , Crawley, West Australia, Australia

    Jianxin Li

  5. University of Adelaide , Adelaide, South Australia, Australia

    Quan Z. Sheng

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing AG

About this paper

Cite this paper

Liu, Y., Lin, D., Li, J., Shan, S. (2016). Scholarly Output Graph: A Graphical Article-Level Metric Indicating the Impact of a Scholar’s Publications. In: Li, J., Li, X., Wang, S., Li, J., Sheng, Q. (eds) Advanced Data Mining and Applications. ADMA 2016. Lecture Notes in Computer Science(), vol 10086. Springer, Cham. https://doi.org/10.1007/978-3-319-49586-6_40

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-49586-6_40

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-49585-9

  • Online ISBN: 978-3-319-49586-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation