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Uluslararası Dergilerde Yayımlanan Türkiye Adresli Makalelerin Atıf Etkisini Artıran Faktörler

Year 2021, , 388 - 409, 30.09.2021
https://doi.org/10.24146/tk.933159

Abstract

Amaç: Bu araştırmanın amacı Türkiye (TR) adresli uluslararası makalelerin atıf sayısını artıran faktörleri ortaya çıkarmaktır. Yöntem: 2006-2015 yıllarında yayımlanan yaklaşık 226 bin TR adresli makaleye ait bibliyografik veriler indirilmiş, bu verilerden olasılığa dayalı tabakalı %2’lik bir örneklem seçilmiş ve örneklemde yer alan makalelere ilişkin atıf sayısı, dergi etki faktörü, dergilerin çeyreklik değerleri, ortak yazar sayısı vb. gibi ilgili bilgiler çeşitli kaynaklardan elde edilmiştir. Daha sonra; makale, dergi, işbirliği, dizinleme, destek ve erişimle ilgili 19 bağımsız değişken saptanarak bu değişkenlerin TR adresli makalelerin atıf sayısı üzerindeki etkisi engel modeli (hurdle model) kullanılarak analiz edilmiştir. Bulgular: TR adresli makalelerin atıf sayısını artıran ve hiç atıf almayan makale sayısını azaltan en önemli faktörler, makalelerin yayımlandığı dergilerin beş yıllık dergi etki faktörü ve çeyreklik (Q1) değerleri ile makalelerin kaynakçalarında yer alan referans sayılarıdır. Yabancı ülkelerle işbirliği yapılarak yayımlanan makalelerin atıf sayısı daha yüksektir. Makalelerin konusu, desteklenip desteklenmemesi ve makaleye erişim yönteminin (açık/kapalı erişim) atıf sayısı üzerinde olumlu etkisi yoktur. Sonuç: Bu bulgular Türkiye adresli makalelerin bilimsel etkisini artırmak için dergi etki faktörü yüksek dergilerde yayımlanmasını özendiren, ama etki faktörü düşük dergilerde yayın yapılmasının da önüne geçen akademik yükseltme ve teşvik politikalarının geliştirilmesi gerektiğini göstermektedir. Özgünlük: Bu araştırma, engel modelini kullanarak makale, dergi, işbirliği, dizinleme, destek ve erişimle ilgili çok sayıda faktörün TR adresli makalelere yapılan atıf sayısına doğrudan etkisini araştıran ilk çalışmadır.
Anahtar Sözcükler: Atıf etkisi; dergi etki faktörü; akademik teşvik; engel modeli.

Thanks

UBYT Programı ödeme verilerini sağlayan TÜBİTAK ULAKBİM Müdürü M. Mirat Satoğlu’ya teşekkür ederiz.

References

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Factors Increasing the Citation Impact of Papers from Turkey Published in International Journals

Year 2021, , 388 - 409, 30.09.2021
https://doi.org/10.24146/tk.933159

Abstract

Objective: This paper aims to find out the factors that are likely to increase the citation impact of Turkey-addressed international papers. Method: For this purpose, we downloaded bibliographic records of some 226,000 TR-addressed papers that were published between 2006 and 2015, therefrom selected a sample (2%) using stratified probabilistic sampling technique, and obtained relevant data from various sources such as the number of citations and co-authors, journal impact factors (JIF) and journal quartiles pertaining to each paper in the sample. We then identified 19 independent variables on article, journal, cooperation, support and access levels and analyzed the data using the hurdle model. Findings: The strongest factors increasing the number of citations of TR-addressed papers are five-year JIFs and journal quartiles (Q1) in which TR-addressed papers appeared and the number of references in papers’ reference lists. These factors also reduce the number of papers with zero citations. Papers published in cooperation with other countries collect higher numbers of citations. Factors such as the subjects of papers, whether papers received monetary support or not, and methods by which papers can be accessed (open or closed access) have no impact on the number of citations received. Implications: Findings indicate that academic promotion and support policies encouraging publishing in high impact journals while forestalling publishing in low impact journals should be developed in order to increase the scientific impact of TR-addressed papers. Originality: This is the first study using hurdle model to investigate the direct impact of several article, journal, collaboration, monetary support and access level explanatory variables on the number of citations that TR-addressed papers receive.

References

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  • Didegah, F. ve Thelwall, M. (2013b). Determinants of research citation impact in nanoscience and nanotechnology. Journal of the American Society for Information Science and Technology, 64(5), 1055-1064. https://doi.org/10.1002/asi.22806
  • Dinarcan, G. N. (2018). Sayma verisi için regresyon modelleri ve bir uygulama [Yayımlanmamış yüksek lisans tezi]. Hacettepe Üniversitesi. http://www.openaccess.hacettepe.edu.tr:8080/xmlui/bitstream/handle/11655/4613/10195911.pdf?sequence=4&isAllowed=y
  • Fischer, I. ve Steiger, H-J. (2018). Dynamics of Journal Impact Factors and limits to their inflation. Journal of Scholarly Publishing, 50(1), 26-36. https://doi.org/10.3138/jsp.50.1.06
  • Fronzetti Colladon, A., D’Angelo, C. A. ve Gloor, P. A. (2020). Predicting the future success of scientific publications through social network and semantic analysis. Scientometrics, 124, 357-377. https://doi.org/10.1007/s11192-020-03479-5
  • Good, B., Vermeulen, N., Tiefenthaler, B. ve Arnold, E. (2015). Counting quality? The Czech performance-based research funding system. Research Evaluation, 24(2), 91-105. https://doi.org/10.1093/reseval/rvu035
  • Gök, A., Rigby, J. ve Shapira, P. (2016). The impact of research funding on scientific outputs: Evidence from six smaller European countries. Journal of the Association for Information Science and Technology, 67(3), 715-730. https://doi.org/10.1002/asi.23406
  • Hicks, D., Wouters, P., Waltman, L., de Rijcke, S. ve Rafols, I. (2015). Bibliometrics: The Leiden Manifesto for research metrics. Nature, 520(7548), 429-431. https://doi.org/10.1038/520429a
  • Jackman, S., Tahk, A., Zeileis, A., Maimone, C., Fearon, J. ve Meers, Z. (2020). Package ‘pscl’. https://cran.r-project.org/web/packages/pscl/pscl.pdf
  • Kamalski, J., Huggett, S., Kalinaki, E., Lan, G., Lau, G., Pan, L. ve Scheerooren, S. (2017). World of Research 2015: Revealing patterns and archetypes in scientific research. http://dlibra.umcs.lublin.pl/dlibra/docmetadata?id=26567&from=pubindex&dirids=12&lp=478
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  • Kostoff, R. N. (2007). The difference between highly and poorly cited medical articles in the journal Lancet. Scientometrics, 72, 513-520. https://doi.org/10.1007/s11192-007-1573-7
  • Larivière, V., Kiermer, V., MacCallum, C. J., McNutt, M., Patterson, M., Pulverer, B., Swaminarhan, S., Taylor, S. ve Curry, S. (2016). A simple proposal for the publication of journal citation distributions. https://doi.org/10.1101/062109
  • Leydesdorff, L., Bornmann, L. ve Wagner, C. S. (2019). The relative influences of government funding and international collaboration on citation impact. Journal of the Association for Information Science and Technology, 70(2), 198-201. https://doi.org/10.1002/asi.24109
  • Lindsey, D. (1989). Using citation counts as a measure of quality in science measuring what’s measurable rather than what’s valid. Scientometrics, 15(3-4), 189-203. https://doi.org/10.1007/BF02017198
  • Liu, F., Guo, W. ve Zuo, C. (2018). High impact factor journals have more publications than expected. Current Science, 114(5), 955-956. https://doi.org/10.18520/cs%2Fv114%2Fi05%2F955-956
  • Liu, X. Z. ve Fang, H. (2020). A comparison among citation-based journal indicators and their relative changes with time. Journal of Informetrics, 14(1), 1-17. https://doi.org/10.1016/j.joi.2020.101007
  • MacRoberts, M. H. ve MacRoberts, B. R. (1989). Problems of citation analysis: A critical review. Journal of the American Society for Information Science, 40(5), 342-349. https://doi.org/10.1002/(SICI)1097-4571(198909)40:5<342::AID-ASI7>3.0.CO;2-U
  • MacRoberts, M. H. ve MacRoberts, B. R. (1996). Problems of citation analysis. Scientometrics, 36(3), 435-444. https://doi.org/10.1007/BF02129604
  • MacRoberts, M. H. ve MacRoberts, B. R. (2018). The mismeasure of science: Citation analysis. Journal of the Association for Information Science and Technology, 69(3), 474-482. https://doi.org/10.1002/asi.23970
  • Merton, R. K. (1968). The Matthew effect in science. Science, 159(3810), 56-63. https://doi.org/10.1126/science.159.3810.56
  • Miranda, R. ve Garcia-Carpintero, E. (2019). Comparison of the share of documents and citations from different quartile journals in 25 research areas. Scientometrics, 121(1), 479-501. https://doi.org/10.1007/s11192-019-03210-z
  • Muller, J. Z. (2019). Sayıların diktatörlüğü: Başarıyı rakamlarla ölçme saplantısı ve çözüm yolları (A. Kamacıoğlu, Çev.). The Kitap.
  • Nicolaisen, J. ve Frandsen, T. F. (2019). Zero impact: A large-scale study of uncitedness. Scientometrics, 119(2), 1227-1254. https://doi.org/10.1007/s11192-019-03064-5
  • Onodera, N. ve Yoshikane, F. (2015). Factors affecting citation rates of research articles. Journal of the Association for Information Science and Technology, 66(4), 739-764. https://doi.org/10.1002/asi.23209
  • Orbay, K., Miranda, R. ve Orbay, M. (2020). Building journal impact factor quartile into the assessment of academic performance: A case study. Participatory Educational Research (PER), 7(2), 1-13. https://doi.org/10.17275/per.20.26.7.2
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There are 55 citations in total.

Details

Primary Language Turkish
Subjects Library and Information Studies
Journal Section Research Articles
Authors

Yaşar Tonta 0000-0003-0285-1338

Müge Akbulut 0000-0003-0026-6485

Publication Date September 30, 2021
Submission Date May 5, 2021
Acceptance Date September 9, 2021
Published in Issue Year 2021

Cite

APA Tonta, Y., & Akbulut, M. (2021). Uluslararası Dergilerde Yayımlanan Türkiye Adresli Makalelerin Atıf Etkisini Artıran Faktörler. Türk Kütüphaneciliği, 35(3), 388-409. https://doi.org/10.24146/tk.933159

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