Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

of

Google Scholar as a data source for bibliometric analysis Slide 1 Google Scholar as a data source for bibliometric analysis Slide 2 Google Scholar as a data source for bibliometric analysis Slide 3 Google Scholar as a data source for bibliometric analysis Slide 4 Google Scholar as a data source for bibliometric analysis Slide 5 Google Scholar as a data source for bibliometric analysis Slide 6 Google Scholar as a data source for bibliometric analysis Slide 7 Google Scholar as a data source for bibliometric analysis Slide 8 Google Scholar as a data source for bibliometric analysis Slide 9 Google Scholar as a data source for bibliometric analysis Slide 10 Google Scholar as a data source for bibliometric analysis Slide 11 Google Scholar as a data source for bibliometric analysis Slide 12 Google Scholar as a data source for bibliometric analysis Slide 13 Google Scholar as a data source for bibliometric analysis Slide 14 Google Scholar as a data source for bibliometric analysis Slide 15 Google Scholar as a data source for bibliometric analysis Slide 16 Google Scholar as a data source for bibliometric analysis Slide 17 Google Scholar as a data source for bibliometric analysis Slide 18 Google Scholar as a data source for bibliometric analysis Slide 19 Google Scholar as a data source for bibliometric analysis Slide 20 Google Scholar as a data source for bibliometric analysis Slide 21 Google Scholar as a data source for bibliometric analysis Slide 22 Google Scholar as a data source for bibliometric analysis Slide 23 Google Scholar as a data source for bibliometric analysis Slide 24 Google Scholar as a data source for bibliometric analysis Slide 25 Google Scholar as a data source for bibliometric analysis Slide 26 Google Scholar as a data source for bibliometric analysis Slide 27 Google Scholar as a data source for bibliometric analysis Slide 28 Google Scholar as a data source for bibliometric analysis Slide 29 Google Scholar as a data source for bibliometric analysis Slide 30 Google Scholar as a data source for bibliometric analysis Slide 31 Google Scholar as a data source for bibliometric analysis Slide 32 Google Scholar as a data source for bibliometric analysis Slide 33 Google Scholar as a data source for bibliometric analysis Slide 34 Google Scholar as a data source for bibliometric analysis Slide 35 Google Scholar as a data source for bibliometric analysis Slide 36 Google Scholar as a data source for bibliometric analysis Slide 37 Google Scholar as a data source for bibliometric analysis Slide 38 Google Scholar as a data source for bibliometric analysis Slide 39 Google Scholar as a data source for bibliometric analysis Slide 40 Google Scholar as a data source for bibliometric analysis Slide 41 Google Scholar as a data source for bibliometric analysis Slide 42 Google Scholar as a data source for bibliometric analysis Slide 43 Google Scholar as a data source for bibliometric analysis Slide 44 Google Scholar as a data source for bibliometric analysis Slide 45 Google Scholar as a data source for bibliometric analysis Slide 46 Google Scholar as a data source for bibliometric analysis Slide 47 Google Scholar as a data source for bibliometric analysis Slide 48 Google Scholar as a data source for bibliometric analysis Slide 49 Google Scholar as a data source for bibliometric analysis Slide 50 Google Scholar as a data source for bibliometric analysis Slide 51 Google Scholar as a data source for bibliometric analysis Slide 52 Google Scholar as a data source for bibliometric analysis Slide 53
Upcoming SlideShare
Evaluating the possibilities of DataCite for developing 'Open data metrics' on the production and usage of datasets worldwide
Next
Download to read offline and view in fullscreen.

2 Likes

Share

Download to read offline

Google Scholar as a data source for bibliometric analysis

Download to read offline

Presentation at the European Scientometrics Summer School 2015 held in Leuven (Belgium) on July 17, 2015.

Related Books

Free with a 30 day trial from Scribd

See all

Related Audiobooks

Free with a 30 day trial from Scribd

See all

Google Scholar as a data source for bibliometric analysis

  1. 1. Google Scholar as a data source for bibliometric analysis Nicolás Robinson-Garcia
  2. 2. OBJECTIVES GOOGLE SHOLAR AS A DATA SOURCE FOR BIBLIOMETRIC ANALYSIS   
  3. 3. AGENDA
  4. 4. Main characteristics of Google Scholar
  5. 5. GS AS AN-INFORMATION DISCOVERY TOOL
  6. 6. GS AS AN-INFORMATION DISCOVERY TOOL
  7. 7. GS AS AN-INFORMATION DISCOVERY TOOL
  8. 8. GS AS AN-INFORMATION DISCOVERY TOOL
  9. 9.    GS AS A TOOL FOR RESEARCHERS
  10. 10.  GS AS A TOOL FOR RESEARCHERS
  11. 11.   GS AS A TOOL FOR RESEARCHERS
  12. 12.    GS AS A TOOL FOR RESEARCHERS
  13. 13.     GS AS A TOOL FOR RESEARCHERS
  14. 14. • ALERTS UPDATES LIBRARY + CITE GS AS A TOOL FOR RESEARCHERS
  15. 15. • • • ALERTS 1 2 3
  16. 16. • ALERTS Following Christian’s new papers or citations
  17. 17. • • – – – – – • UPDATES
  18. 18. UPDATES Ok, I have published about these topics, so I may be interested on these papers Ok, this paper cites me so it should be related to my research
  19. 19. • • • • • LIBRARY + CITE •Cite easily from GS results: formats  MLA, APA, Chicago •Get the formatted reference and copy/paste it into a Bibliography.
  20. 20. • • LIBRARY + CITE
  21. 21. The Google Scholar family
  22. 22. • PROFILES METRICS SOURCE FOR BIBLIOMETRIC ANALISYS THE GOOGLE SCHOLAR FAMILY
  23. 23. • • • PROFILES Ranking of researchers by keywords/areas are generated through this classification TIP: there is always a field where you can be the most cited author! 
  24. 24. • • • • • –  PROFILES
  25. 25. CSIC RANKING OF RESEARCHERS ACCORDING TO GSC
  26. 26. UGRinvestiga – The time for bibliometric applications   
  27. 27. UGRinvestiga – The time for bibliometric applications
  28. 28.    UGRinvestiga – The time for bibliometric applications
  29. 29. • Easy to set up (just search for your papers) • Terrific tool for comparing researchers within a field or department • Automatically updated basic bibliometric data • No restrictions on source, language or area • Everyone can measure their performance (and their colleagues') PROFILES • Data can be easily manipulated (a researcher can self-claim non-authored papers) • Can stimulate vanity and ego • Can generate unfair comparisons (for example, researchers from different areas in a single univ) • Can generate unfair analysis by non-bibliometric experts STRENGTHS WEAKNESSES
  30. 30. • • • • • • METRICS
  31. 31. • Free product to compare and rank journals • We can get impact information about non-JCR journals and about national and SSH publications • Transparency: citations for every paper that contributes to the h-index can be checked • High correlation with JCR Impact factor (0.82) • Simple to use and understand by any scholar • Can be easily replicated • Methodological inconsistencies such as comparing journals from different areas • Lack of proper bibliographic control (duplicates, “dirty” data,…) • No selection criteria • No action against data manipulation • No info about new updates (expected to be updated yearly) • Just top results are presented • H index favours journals with high production STRENGTHS WEAKNESSES METRICS
  32. 32. Google Scholar, a bibliometric data source?
  33. 33. GETTING THE FACTS STRAIGHT     х х х х
  34. 34. GETTING THE FACTS STRAIGHT
  35. 35. GETTING THE FACTS STRAIGHT
  36. 36. •  • JOURNALS Cabezas & Delgado (2013) Harzing & der Wal (2009) GETTING THE FACTS STRAIGHT
  37. 37. GETTING THE FACTS STRAIGHT
  38. 38. • • • GETTING THE FACTS STRAIGHT
  39. 39. SO, CAN I USE IT OR NOT?
  40. 40. SO, CAN I USE IT OR NOT?    
  41. 41. HOW CAN I USE GS?
  42. 42. HOW CAN I USE GS?
  43. 43. SOME PRODUCTS BASED ON GS Research Authors Publishers Holistic analysis model Applied to Library & Information Sciences in Spain http://www.biblioteconomia-documentacion-española.infoec3.es/
  44. 44. Conclusions
  45. 45. THE CRITICAL VIEW    
  46. 46.      THE OPTIMISTIC VIEW
  47. 47.   ‐ ‐ ‐  ‐    FURTHER READINGS
  48. 48. Thank you! elrobin@ugr.es wdb.ugr.es/~elrobin
  • yasminsaadmohamed

    May. 2, 2017
  • angelmones

    Jul. 25, 2015

Presentation at the European Scientometrics Summer School 2015 held in Leuven (Belgium) on July 17, 2015.

Views

Total views

3,226

On Slideshare

0

From embeds

0

Number of embeds

764

Actions

Downloads

54

Shares

0

Comments

0

Likes

2

×