, Volume 110, Issue 1, pp 243–251 | Cite as

The effect of keyword repetition in abstract and keyword frequency per journal in predicting citation counts



This paper investigates an association between two new variables and citations in papers. These variables include the abstract ratio (the sum of repetition of keywords in abstract divided by abstract length) and the weight ratio (the frequency of paper’s keyword per journal). The data consist of 5875 papers from 12 journals in education: three journals from each SCImago quartile. The researchers used semi-continuous regression to model the data and measure the impact of the proposed variables on citations. The results revealed that both abstract ratio and weight ratio are statistically significant predictors of citations in scientific articles in education.


Scientometrics Bibliometrics Citation analysis Citation prediction 


  1. Ale Ebrahim, N., Salehi, H., Embi, M., Habibi Tanha, F., Gholizadeh, H., Motahar, S., et al. (2013). Effective strategies for increasing citation frequency. International Education Studies, 6(11), 93–99.CrossRefGoogle Scholar
  2. Alimoradi, F., Javadi, M., Mohammadpoorasl, A., Moulodi, F., & Hajizadeh, M. (2016). The effect of key characteristics of the title and morphological features of published articles on their citation rates. Annals of Library and Information Studies, 63, 74–77.Google Scholar
  3. Bertsimas, D., Brynjolfsson, E., Reichman, S., & Silberholz, J. (2015). OR Forum—Tenure analytics: Models for predicting research impact. Operations Research, 63(6), 1246–1261.MathSciNetCrossRefMATHGoogle Scholar
  4. Bornmann, L., Leydesdorff, L., & Wang, J. (2014). How to improve the prediction based on citation impact percentiles for years shortly after the publication date? Journal of Informetrics, 8, 175–180.CrossRefGoogle Scholar
  5. Bornmann, L., Schier, H., Marx, W., & Daniel, H.-D. (2012). What factors determine citation counts of publications in chemistry besides their quality? Journal of Informetrics, 6, 11–18.CrossRefGoogle Scholar
  6. Brizan, D., Gallagher, K., Jahangir, A., & Brown, T. (2016). Predicting citation patterns: defining and determining influence. Scientometrics, 108, 183–200.CrossRefGoogle Scholar
  7. Falahati Qadimi Fumani, M., Goltaji, M., & Parto, P. (2015). The impact of title length and punctuation marks on article citations. Annals of Library and Information Studies, 62, 126–132.Google Scholar
  8. Fox, J., & Weisberg, S. (2011). An R Companion to Applied Regression (Second ed.). Thousand Oaks CA: Sage. Retrieved from
  9. Fu, L., & Aliferis, C. (2010). Using content-based and bibliometric features for machine learning models to predict citation counts in the biomedical literature. Scientometrics, 85, 257–270.CrossRefGoogle Scholar
  10. Habibzadeh, F., & Yadollahie, M. (2010). Are shorter article titles more attractive for citations? Crosssectional study of 22 scientific journals. Croatian Medical Journal, 51(2), 165–170.CrossRefGoogle Scholar
  11. Jacques, T., & Sebire, N. (2010). The impact of article titles on citation hits: an analysis of general and specialist medical journals. Journal of the Royal Society of Medicine Short Reports, 1(1), 1–5.CrossRefGoogle Scholar
  12. Paiva, C., Lima, J., & Paiva, B. (2012). Articles with short titles describing the results are cited more often. Clinics, 67(5), 509–513.CrossRefGoogle Scholar
  13. Robson, B., & Mousques, A. (2016). Can we predict citation counts of environmental modelling papers? Fourteen bibliographic and categorical variables predict less than 30% of the variability in citation counts. Environmental Modelling and Software, 75, 94–104.CrossRefGoogle Scholar
  14. Rostami, F., Mohammadpoorasl, A., & Hajizadeh, M. (2014). The effect of characteristics of title on citation rates of articles. Scientometrics, 98(3), 2007–2010.CrossRefGoogle Scholar
  15. SCImago. (2015). Journal Rankings on Education - Scimago Journal & Country Rank. Retrieved from
  16. Stegehuis, C., Litvak, N., & Waltman, L. (2015). Predicting the long-term citation impact of recent publications. Journal of Informetrics, 9, 642–657.CrossRefGoogle Scholar
  17. Thelwall, M., & Wilson, P. (2014). Regression for citation data: An evaluation of different methods. Journal of Informetrics, 8, 963–971.CrossRefGoogle Scholar
  18. Yu, T., Yu, G., Li, P.-Y., & Wang, L. (2014). Citation impact prediction for scientific papers using stepwise regression analysis. Scientometrics, 101, 1233–1252.CrossRefGoogle Scholar

Copyright information

© Akadémiai Kiadó, Budapest, Hungary 2016

Authors and Affiliations

  1. 1.University of TehranTehranIslamic Republic of Iran

Personalised recommendations