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Abstract:

Author self-citation is a practice that has been historically surrounded by controversy. Although the prevalence of self-citations in different scientific fields has been thoroughly analysed, there is a lack of large scale quantitative research focusing on its usefulness at guiding readers in finding new relevant scientific knowledge. In this work we empirically address this issue. Using as our main corpus the entire set of PLOS journals research articles, we train a topic discovery model able to capture semantic dissimilarity between pairs of articles. By dividing pairs of articles involved in intra-PLOS citations into self-citations (articles linked by a cite which share at least one author) and non-self-citations (articles linked by a cite which share no author), we observe the distribution of semantic dissimilarity between citing and cited papers in both groups. We find that the typical semantic distance between articles involved in self-citations is significantly smaller than the observed one for articles involved in non-self-citations. Additionally, we find that our results are not driven by the fact that authors tend to specialize in particular areas of research, make use of specific research methodologies or simply have particular styles of writing. Overall, assuming shared content as an indicator of relevance and pertinence of citations, our results indicate that self-citations are, in general, useful as a mechanism of knowledge diffusion. © 2017, Akadémiai Kiadó, Budapest, Hungary.

Registro:

Documento: Artículo
Título:Assessing author self-citation as a mechanism of relevant knowledge diffusion
Autor:Gálvez, R.H.
Filiación:Departamento de Computación, FCEyN, Universidad de Buenos Aires, Buenos Aires, Argentina
Palabras clave:Author self-citation; Knowledge diffusion; Latent Dirichlet allocation; Semantic dissimilarity
Año:2017
Volumen:111
Número:3
Página de inicio:1801
Página de fin:1812
DOI: http://dx.doi.org/10.1007/s11192-017-2330-1
Título revista:Scientometrics
Título revista abreviado:Scientometrics
ISSN:01389130
Registro:http://digital.bl.fcen.uba.ar/collection/paper/document/paper_01389130_v111_n3_p1801_Galvez

Referencias:

  • Aksnes, D., A macro study of self-citation (2003) Scientometrics, 56 (2), pp. 235-246
  • Anauati, V., Galiani, S., Gálvez, R.H., Quantifying the life cycle of scholarly articles across fields of economic research (2016) Economic Inquiry, 54 (2), pp. 1339-1355
  • Ball, P., Index aims for fair ranking of scientists (2005) Nature, 436 (7053), p. 900
  • Bartneck, C., Kokkelmans, S., Detecting h-index manipulation through self-citation analysis (2011) Scientometrics, 87 (1), pp. 85-98
  • (2006) In Proceedings of the COLING/ACL on interactive presentation sessions, , Bird, S. (2006). Nltk: the natural language toolkit.COLING-ACL ’06 (pp. 69–72). Stroudsburg, PA: Association for Computational Linguistics
  • Blei, D.M., Ng, A.Y., Jordan, M.I., Latent dirichlet allocation (2003) The Journal of machine Learning research, 3, pp. 993-1022
  • Bornmann, L., Daniel, H.-D., What do citation counts measure? A review of studies on citing behavior (2008) Journal of Documentation, 64 (1), pp. 45-80
  • Briët, J., Harremoës, P., Properties of classical and quantum Jensen–Shannon divergence (2009) Physical Review A, 79 (5), p. 052311
  • Chamberlain, S., Boettiger, C., Ram, K., Interface to the Search ‘API’ for ‘PLoS’ Journals R package version, 5, p. 4
  • Eichstaedt, J.C., Schwartz, H.A., Kern, M.L., Park, G., Labarthe, D.R., Merchant, R.M., Psychological language on twitter predicts county-level heart disease mortality (2015) Psychological Science, 26 (2), pp. 159-169
  • Engqvist, L., Frommen, J., The h-index and self-citations (2008) Proceedings of the National academy of Sciences of the United States of America, 99, pp. 11270-11274
  • Estabrooks, C.A., Derksen, L., Winther, C., Lavis, J.N., Scott, S.D., Wallin, L., The intellectual structure and substance of the knowledge utilization field: A longitudinal author co-citation analysis, 1945 to 2004 (2008) Implementation Science, 3 (1), p. 49
  • Fagerberg, J., Srholec, M., Verspagen, B., Chapter 20—innovation and economic development (2010) Handbook of the economics of innovation, pp. 833-872. , Hall BH, Rosenberg N, (eds), 2, North-Holland, Amsterdam
  • Glänzel, W., Thijs, B., The influence of author self-citations on bibliometric macro indicators (2004) Scientometrics, 59 (3), pp. 281-310
  • (2008) In Proceedings of the conference on empirical methods in natural language processing, , Hall, D., Jurafsky, D., & Manning, C. D. (2008). Studying the history of ideas using topic models.EMNLP ’08 (pp. 363–371). Stroudsburg, PA: Association for Computational Linguistics
  • Hirsch, J.E., An index to quantify an individual’s scientific research output (2005) Proceedings of the National academy of Sciences of the United States of America, 102 (46), pp. 16569-16572
  • (2009) Latent dirichlet allocation for text, images, and music, , http://cseweb.ucsd.edu/~dhu/docs/research_exam09.pdf, Hu, D. J. (2009).Last checked on January 16, 2017
  • Hudson, J., Be known by the company you keep: Citations–quality or chance? (2007) Scientometrics, 71 (2), pp. 231-238
  • Hyland, K., Self-citation and self-reference: Credibility and promotion in academic publication (2003) Journal of the American Society for Information Science and Technology, 54 (3), pp. 251-259
  • Knorr-Cetina, K., (1981) The manufacture of knowledge. An essay on the constructivist and contextual nature of science, , Pergamon Press, Oxford
  • Kulkarni, A.V., Aziz, B., Shams, I., Busse, J.W., Author self-citation in the general medicine literature (2011) PLoS ONE, 6 (6)
  • Lawani, S.M., On the heterogeneity and classification of author self-citations (1982) Journal of the American society for Information Science, 33 (5), p. 281
  • MacRoberts, M.H., MacRoberts, B.R., Problems of citation analysis: A critical review (1989) Journal of the American Society for Information Science, 40 (5), pp. 342-349
  • Maliniak, D., Powers, R., Walter, B.F., The gender citation gap in international relations (2013) International Organization, 67 (4), pp. 889-922
  • Merton, R.K., (1973) Sociology of science: Theoretical and empirical investigations, , University of Chicago Press, Chicago
  • Motamed, M., Mehta, D., Basavaraj, S., Fuad, F., Self citations and impact factors in otolaryngology journals (2002) Clinical Otolaryngology & Allied Sciences, 27 (5), pp. 318-320
  • Park, H.W., Hong, H.D., Leydesdorff, L., A comparison of the knowledge-based innovation systems in the economies of south korea and the netherlands using triple helix indicators (2005) Scientometrics, 65 (1), pp. 3-27
  • (2015) Public Library of Science, , https://github.com/PLOS/plos-thesaurus, (2015). Plos subject area thesaurus. Last checked on January 16, 2017
  • (2010) Software framework for topic modelling with large corpora, , Řehůřek, R., & Sojka, P., (2010).In Proceedings of the LREC 2010 workshop on new challenges for NLP frameworks (pp. 45–50). Valletta: ELRA
  • Rogers, E.M., (2003) Diffusion of innovations, , Free Press, New York, NY
  • Schreiber, M., Self-citation corrections for the Hirsch index (2007) Europhysics Letters, 78 (3), p. 30002
  • Seglen, P.O., The skewness of science (1992) Journal of the American Society for Information Science, 43 (9), pp. 628-638
  • Snyder, H., Bonzi, S., Patterns of self-citation across disciplines (1980–1989) (1998) Journal of Information Science, 24 (6), pp. 431-435
  • (2013) TextBlob: Simplified text processing, , https://textblob.readthedocs.io/en/dev/, Loria, S., Keen, P., Honnibal, M., Yankovsky, R., Karesh, D., Dempsey, E., et al. (2013).Last checked on January 16, 2017
  • Tagliacozzo, R., Self-citations in scientific literature (1977) Journal of Documentation, 33 (4), pp. 251-265
  • Wojick, D.E., Warnick, W.L., Carroll, B.C., Crowe, J., The digital road to scientific knowledge diffusion (2006) D-Lib Magazine, 12 (6), pp. 1082-9873
  • Yu, G., Wang, M.-Y., Yu, D.-R., Characterizing knowledge diffusion of nanoscience & nanotechnology by citation analysis (2010) Scientometrics, 84 (1), pp. 81-97

Citas:

---------- APA ----------
(2017) . Assessing author self-citation as a mechanism of relevant knowledge diffusion. Scientometrics, 111(3), 1801-1812.
http://dx.doi.org/10.1007/s11192-017-2330-1
---------- CHICAGO ----------
Gálvez, R.H. "Assessing author self-citation as a mechanism of relevant knowledge diffusion" . Scientometrics 111, no. 3 (2017) : 1801-1812.
http://dx.doi.org/10.1007/s11192-017-2330-1
---------- MLA ----------
Gálvez, R.H. "Assessing author self-citation as a mechanism of relevant knowledge diffusion" . Scientometrics, vol. 111, no. 3, 2017, pp. 1801-1812.
http://dx.doi.org/10.1007/s11192-017-2330-1
---------- VANCOUVER ----------
Gálvez, R.H. Assessing author self-citation as a mechanism of relevant knowledge diffusion. Scientometrics. 2017;111(3):1801-1812.
http://dx.doi.org/10.1007/s11192-017-2330-1