Skip to main content
Log in

Bibliometric analysis of diabetes mellitus research output from Middle Eastern Arab countries during the period (1996–2012)

  • Published:
Scientometrics Aims and scope Submit manuscript

Abstract

The main objective of this study was to analyze research productivity originating from Middle East Arab (MEA) countries in the field of diabetes mellitus (DM). Data from January 1, 1996 till December 31, 2012 were searched for documents with specific words in diabetes as a “source title” and a list of 13 MEA countries as affiliation country. Research productivity was evaluated based on number of publications, citation analysis, indexing in Institute for Scientific Information and impact factor (IF). The 13 MEA countries published a total of 479 documents in 41 diabetes journals. This number represents 0.75 % of the total documents produced globally in the field of DM. The number of published documents increased by around fivefold from early 2000 to 2012. Of the 41 journal titles retrieved, 24 (58.5 %) had their IF listed in the journal citation reports 2012. Forty-two documents (14.5 %) were published in journals that had no official IF. The total number of citations for documents published from MEA countries in the field of DM, at the time of data analysis, was 5,565 with an h index of 35. The median (inter-quartile range) citation for documents from the 13 MEA countries was 4 (1–11). The top productive institution in the field of DM was United Arab Emirates University with 51 documents (10.6 %). Authors from MEA countries collaborated mostly with authors in countries like United Kingdom, USA, and Germany. The present data show promising and relatively good diabetes research productivity in MEA countries especially after 2008.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1

Similar content being viewed by others

Abbreviations

MEA:

Middle Eastern Arab

ME:

Middle East

SPSS:

Statistical Package for Social Sciences

SD:

Standard deviation

ISI:

Institute for Scientific Information

KSA:

Kingdom of Saudi Arabia

UAE:

United Arab Emirates

HINARI:

Inter Network Access to Research Initiative

SAR:

Syrian Arab Republic

JCR:

Journal Citation Report

IFs:

Impact factors

References

  • Abdi, R., Fiorina, P., Adra, C. N., Atkinson, M., & Sayegh, M. H. (2008). Immunomodulation by mesenchymal stem cells: A potential therapeutic strategy for type 1 diabetes. Diabetes, 57(7), 1759–1767.

    Article  Google Scholar 

  • Abramo, G., D’Angelo, C. A., & Di Costa, F. (2009). Research collaboration and productivity: Is there correlation? Higher Education, 57(2), 155–171.

    Article  Google Scholar 

  • Ahmed, I., Adeghate, E., Sharma, A. K., Pallot, D. J., & Singh, J. (1998). Effects of Momordica charantia fruit juice on islet morphology in the pancreas of the streptozotocin-diabetic rat. Diabetes Research and Clinical Practice, 40(3), 145–151.

    Article  Google Scholar 

  • Ahmed, I., Lakhani, M. S., Gillett, M., John, A., & Raza, H. (2001). Hypotriglyceridemic and hypocholesterolemic effects of anti-diabetic Momordica charantia (karela) fruit extract in streptozotocin-induced diabetic rats. Diabetes Research and Clinical Practice, 51(3), 155–161.

    Article  Google Scholar 

  • Alberti, K. G. M. M., & Zimmet, P. Z. (1998). Definition, diagnosis and classification of diabetes mellitus and its complications. Part 1: Diagnosis and classification of diabetes mellitus. Provisional report of a WHO consultation. Diabetic Medicine, 15(7), 539–553.

    Article  Google Scholar 

  • Al-Lawati, J. A., Mohammed, A. J., Al-Hinai, H. Q., & Jousilahti, P. (2003). Prevalence of the metabolic syndrome among Omani adults. Diabetes Care, 26(6), 1781–1785.

    Article  Google Scholar 

  • Aronson, B. (2002). WHO’s Health InterNetwork Access to Research Initiative (HINARI). Health Information & Libraries Journal, 19(3), 164–165.

    Article  Google Scholar 

  • Bissar-Tadmouri, N., & Tadmouri, G. O. (2009). Bibliometric analyses of biomedical research outputs in Lebanon and the United Arab Emirates (1988–2007). Saudi Medical Journal, 30(1), 130–139.

    Google Scholar 

  • Bramness, J. G., Henriksen, B., Person, O., & Mann, K. (2014). A Bibliometric Analysis of European versus USA Research in the Field of Addiction. Research on Alcohol, Narcotics, Prescription Drug Abuse, Tobacco and Steroids 2001-2011. European Addiction Research, 20(1), 16–22.

    Article  Google Scholar 

  • De Battisti, F., & Salini, S. (2013). Robust analysis of bibliometric data. Statistical Methods and Applications, 22(2), 269–283.

    Article  MathSciNet  Google Scholar 

  • de Granda-Orive, J. I., Alonso-Arroyo, A., & Roig-Vazquez, F. (2011). Which data base should we use for our literature analysis? Web of Science versus SCOPUS. Archivos de Bronconeumologia, 47(4), 213.

    Google Scholar 

  • Engelgau, M. M., Thompson, T. J., Herman, W. H., Boyle, J. P., Aubert, R. E., Kenny, S. J., et al. (1997). Comparison of fasting and 2-hour Glucose and HbA(1c) levels for diagnosing diabetes: Diagnostic criteria and performance revisited. Diabetes Care, 20(5), 785–791.

    Article  Google Scholar 

  • Falagas, M. E., Pitsouni, E. I., Malietzis, G. A., & Pappas, G. (2008). Comparison of PubMed, Scopus, web of science, and Google scholar: strengths and weaknesses. The FASEB Journal, 22(2), 338–342.

    Article  Google Scholar 

  • Figg, W. D., Dunn, L., Liewehr, D. J., Steinberg, S. M., Thurman, P. W., Barrett, J. C., et al. (2006). Scientific collaboration results in higher citation rates of published articles. Pharmacotherapy, 26(6), 759–767.

    Article  Google Scholar 

  • Gavin, J. R., Alberti, K. G. M. M., Davidson, M. B., DeFronzo, R. A., Drash, A., Gabbe, S. G., et al. (2003). Report of the expert committee on the diagnosis and classification of diabetes mellitus. Diabetes Care, 26(SUPPL. 1), S5–S20.

    Google Scholar 

  • Genuth, S., Alberti, K. G. M. M., Bennett, P., Buse, J., DeFronzo, R., Kahn, R., et al. (2003). Follow-up report on the diagnosis of diabetes mellitus. Diabetes Care, 26(11), 3160–3167.

    Article  Google Scholar 

  • Harris, M. I., Flegal, K. M., Cowie, C. C., Eberhardt, M. S., Goldstein, D. E., Little, R. R., et al. (1998). Prevalence of diabetes, impaired fasting glucose, and impaired glucose tolerance in U.S. adults: The Third National Health and Nutrition Examination Survey, 1988–1994. Diabetes Care, 21(4), 518–524.

    Article  Google Scholar 

  • Hofman, K., Ryce, A., Prudhomme, W., & Kotzin, S. (2006). Reporting of non-communicable disease research in low- and middle-income countries: a pilot bibliometric analysis. J Med Libr Assoc, 94(4), 415–420.

    Google Scholar 

  • Huber, J. T., & Gullion, J. S. (2003). Complementary and alternative medicine as represented in the HIV/AIDS body of knowledge: a bibliometric analysis. Medical Reference Services Quarterly, 22(3), 23–32.

    Article  Google Scholar 

  • Isomaa, B., Almgren, P., Tuomi, T., Forsén, B., Lahti, K., Nissén, M., et al. (2001). Cardiovascular morbidity and mortality associated with the metabolic syndrome. Diabetes Care, 24(4), 683–689.

    Article  Google Scholar 

  • Janssen, B., Hohenadel, D., Brinkkoetter, P., Peters, V., Rind, N., Fischer, C., et al. (2005). Carnosine as a protective factor in diabetic nephropathy: association with a leucine repeat of the carnosinase gene CNDP1. Diabetes, 54(8), 2320–2327.

    Article  Google Scholar 

  • Kahn, R. (1997). Report of the expert committee on the diagnosis and classification of diabetes mellitus. Diabetes Care, 20(7), 1183–1197.

    MathSciNet  Google Scholar 

  • Khader, Y. S., Dauod, A. S., El-Qaderi, S. S., Alkafajei, A., & Batayha, W. Q. (2006). Periodontal status of diabetics compared with nondiabetics: A meta-analysis. Journal of Diabetes and Its Complications, 20(1), 59–68.

    Article  Google Scholar 

  • King, H., Aubert, R. E., & Herman, W. H. (1998). Global burden of diabetes, 1995–2025: Prevalence, numerical estimates, and projections. Diabetes Care, 21(9), 1414–1431.

    Article  Google Scholar 

  • Kulkarni, A. V., Aziz, B., Shams, I., & Busse, J. W. (2009). Comparisons of citations in Web of Science, Scopus, and Google Scholar for articles published in general medical journals. JAMA, 302(10), 1092–1096.

    Article  Google Scholar 

  • Lee, S., & Bozeman, B. (2005). The impact of research collaboration on scientific productivity. Social Studies of Science, 35(5), 673–702.

    Article  Google Scholar 

  • Matsuda, M., & DeFronzo, R. A. (1999). Insulin sensitivity indices obtained from oral glucose tolerance testing: Comparison with the euglycemic insulin clamp. Diabetes Care, 22(9), 1462–1470.

    Article  Google Scholar 

  • Miro, O., Montori, E., Ramos, X., Galicia, M., & Nogue, S. (2009). Trends in research activity in toxicology and by toxicologists in seven European countries. Toxicology Letters, 189(1), 1–4.

    Article  Google Scholar 

  • Pan, X. R., Li, G. W., Hu, Y. H., Wang, J. X., Yang, W. Y., An, Z. X., et al. (1997). Effects of diet and exercise in preventing NIDDM in people with impaired glucose tolerance: The Da Qing IGT and diabetes study. Diabetes Care, 20(4), 537–544.

    Article  Google Scholar 

  • Rashidi, A., Rahimi, B., & Delirrad, M. (2013). Bibliometric analysis of parasitological research in iran and Turkey: A comparative study. Iranian Journal of Parasitology, 8(2), 313–322.

    Google Scholar 

  • Salti, I., Benard, E., Detournay, B., Bianchi-Biscay, M., Le Brigand, C., Voinet, C., et al. (2004). A population-based study of diabetes and its characteristics during the fasting month of Ramadan in 13 countries: results of the epidemiology of diabetes and Ramadan 1422/2001 (EPIDIAR) study. Diabetes Care, 27(10), 2306–2311.

    Article  Google Scholar 

  • Scopus. SciVerse Scopus fact sheet. SciVerse® Scopus. 2012 [cited 2012 19 October]; Available from: http://www.info.sciverse.com/UserFiles/2508.SciVerse.Scopus_Facts_Figures%28LR%29.pdf

  • Shaw, J. E., Sicree, R. A., & Zimmet, P. Z. (2010). Global estimates of the prevalence of diabetes for 2010 and 2030. Diabetes Research and Clinical Practice, 87(1), 4–14.

    Article  Google Scholar 

  • Simmons, R. K., Alberti, K. G., Gale, E. A., Colagiuri, S., Tuomilehto, J., Qiao, Q., et al. (2010). The metabolic syndrome: Useful concept or clinical tool? Report of a WHO Expert Consultation. Diabetologia, 53(4), 600–605.

    Article  Google Scholar 

  • Tadmouri, G. O., & Bissar-Tadmouri, N. (2004). A major pitfall in the search strategy on PubMed. Saudi Medical Journal, 25(1), 7–10.

    Google Scholar 

  • Van Essen, C., Cartledge, P., Kyamanywa, P., & Manirakiza, A. (2012). Is HINARI appropriate for medical students in the developing world? Tropical Medicine & International Health, 17(4), 406–408.

    Article  Google Scholar 

  • Wallin, J. A. (2005). Bibliometric methods: pitfalls and possibilities. Basic & Clinical Pharmacology & Toxicology, 97(5), 261–275.

    Article  Google Scholar 

  • Whiting, D. R., Guariguata, L., Weil, C., & Shaw, J. (2011). IDF diabetes atlas: Global estimates of the prevalence of diabetes for 2011 and 2030. Diabetes Research and Clinical Practice, 94(3), 311–321.

    Article  Google Scholar 

  • Wild, S., Roglic, G., Green, A., Sicree, R., & King, H. (2004). Global prevalence of diabetes: Estimates for the year 2000 and projections for 2030. Diabetes Care, 27(5), 1047–1053.

    Article  Google Scholar 

  • Ziyadeh, F. N., & Wolf, G. (2008). Pathogenesis of the podocytopathy and proteinuria in diabetic glomerulopathy. Current Diabetes Review, 4(1), 39–45.

    Article  Google Scholar 

  • Zyoud, S., Al-Jabi, S., Sweileh, W., and Awang, R. (2013). A bibliometric analysis of research productivity of Malaysian publications in leading toxicology journals during a 10-year period (2003–2012). Human & Experimental Toxicology, Article in Press.

  • Zyoud, S. H., Al-Jabi, S. W., Sweileh, W. M., & Awang, R. (2014). A bibliometric analysis of toxicology research productivity in Middle Eastern Arab countries during a 10-year period (2003–2012). Health Research Policy and Systems, 12(1), 4.

    Article  Google Scholar 

Download references

Conflict of interest

The authors declare that they have no competing interests.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Waleed M. Sweileh.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Sweileh, W.M., Zyoud, S.H., Al-Jabi, S.W. et al. Bibliometric analysis of diabetes mellitus research output from Middle Eastern Arab countries during the period (1996–2012). Scientometrics 101, 819–832 (2014). https://doi.org/10.1007/s11192-014-1361-0

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11192-014-1361-0

Keywords

Navigation