A Data-Driven Approach for Discovering the Recent Research Status of Diabetes in China

  • Xieling Chen
  • Heng Weng
  • Tianyong Hao
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10594)


This paper aims at discovering the recent research status of diabetes in China through a data-driven bibliometrics and knowledge mapping analysis method on diabetes-related literature. With the basis of 24,561 publication documents from CNKI during 2007–2016, the quantitative analysis are conducted in three aspects: (1) descriptive statistical method for acquiring literature distribution characteristics; (2) hierarchical clustering, k-means clustering analysis, and multidimensional scaling analysis based on a keyword co-occurrence matrix for discovering research hotspots; and (3) network analysis for revealing cooperation relationships among authors and affiliations. The result shows some findings about the recent diabetes research in China. It also demonstrates the close cooperation of diabetes research among productive authors and affiliations through network generation and visualization.


Diabetes Distribution characteristics Research hotspots Cooperation network 



The work was supported by National Natural Science Foundation of China (No. 61772146 & 61403088), Frontier and Key Technology Innovation Special Grant of Guangdong Province (No. 2014B010118005), Public Interest Research and Capability Building Grant of Guangdong Province (No. 2014A020221039), and Innovative School Project in Higher Education of Guangdong Province (No. YQ2015062).


  1. 1.
    International Diabetes Federation (IDF): IDF Diabetes Atlas Seventh Edition (2016)Google Scholar
  2. 2.
    Chinese Diabetes Society: Guidelines for the Prevention and Treatment of Type 2 Diabetes in China (2013). Chin. J. Diabetes Mellitus 6(7) (2014)Google Scholar
  3. 3.
    Zhang, H.Q.: A bibliometric study on medicine chinese traditional in medline database. Scientometrics 31(3), 241–250 (1994)CrossRefGoogle Scholar
  4. 4.
    Chen, C., Chen, Y., Horowitz, M., Hou, H., Liu, Z., Pellegrino, D.: Towards an explanatory and computational theory of scientific discovery. J. Infor. 3(3), 191–209 (2009)CrossRefGoogle Scholar
  5. 5.
    Guo, Y., Wang, X.M., Wei, H.E.: Chinese and international dynamic research into low carbon technology based on bibliometrics and knowledge mapping. Inf. Sci. 33(4), 139–148 (2015)MathSciNetGoogle Scholar
  6. 6.
    Chen, H., Chen, C.H., Jhanji, V.: Publication times, impact factors, and advance online publication in ophthalmology journals. Ophthalmology 120(8), 1697–1701 (2013)CrossRefGoogle Scholar
  7. 7.
    Holliday, E.B., Ahmed, A.A., Yoo, S.K., Jagsi, R., Hoffman, K.E.: Does cancer literature reflect multidisciplinary practice? A systematic review of oncology studies in the medical literature over a 20-year period. Int. J. Rad. Oncol. Biol. Phys. 92(4), 721–731 (2015)CrossRefGoogle Scholar
  8. 8.
    Salisu, S.A., Ojoye, O.T.: Bibliometric analysis of cancer publications in Nigeria during 2008–2012. Int. J. Libr. Inf. Sci. 7(3), 69–76 (2015)CrossRefGoogle Scholar
  9. 9.
    Kondilis, B.K., Kiriaze, I.J., Athanasoulia, A.P., Falagas, M.E.: Mapping health literacy research in the European Union: a bibliometric analysis. PLoS ONE 3(6), e2519 (2008)CrossRefGoogle Scholar
  10. 10.
    Zacca-González, G., Chinchilla-Rodríguez, Z., Vargas-Quesada, B., de Moya-Anegón, F.: Bibliometric analysis of regional Latin America’s scientific output in public health through SCImago journal & country rank. BMC Publ. Health 14(1), 632 (2014)CrossRefGoogle Scholar
  11. 11.
    Ramos, J.M., Padilla, S., Masia, M., Gutierrez, F.: A bibliometric analysis of tuberculosis research indexed in PubMed, 1997–2006. Int. J. Tuberculosis Lung Disease 12, 121461–121468 (2008)Google Scholar
  12. 12.
    Boudry, C., Denion, E., Mortemousque, B., Mouriaux, F.: Trends and topics in eye disease research in PubMed from 2010 to 2014. PeerJ 4, e1557 (2016)CrossRefGoogle Scholar
  13. 13.
    Khan, A., Choudhury, N., Uddin, S., Hossain, L., Baur, L.A.: Longitudinal trends in global obesity research and collaboration: a review using bibliometric metadata. Obes. Rev. 17(4), 377–385 (2016)CrossRefGoogle Scholar
  14. 14.
    Perilla-González, Y., Gómez-Suta, D., Delgado-Osorio, N., Hurtado-Hurtado, N., Baquero-Rodriguez, J.D., Lopez-Isaza, A.F., Lagos-Grisales, G.J., Villegas, N., Rodriguez-Morales, A.: Study of the scientific production on leishmaniasis in Latin America. Recent Patents Anti Infective Drug Disc. 9(3), 216–222 (2014)CrossRefGoogle Scholar
  15. 15.
    Sa’ed, H.Z., Al-Jabi, S.W., Sweileh, W.M., Al-Khalil, S., Alqub, M., Awang, R.: Global methaemoglobinaemia research output (1940–2013): a bibliometric analysis. Springerplus 4(1), 626 (2015)Google Scholar
  16. 16.
    Escobedo, A.A., Arencibia, R., Vega, R.L., Rodríguez-Morales, A.J., Almirall, P., Alfonso, M.: A bibliometric study of international scientific productivity in giardiasis covering the period 1971–2010. J. Infection Developing Countries 9(1), 076–086 (2015)CrossRefGoogle Scholar
  17. 17.
    Man, H., Xin, S., Bi, W., Lv, C., Mauro, T.M., Elias, P.M., Man, M.Q.: Comparison of publication trends in dermatology among Japan, South Korea and Mainland China. BMC Dermatol. 14(1), 1 (2014)CrossRefGoogle Scholar
  18. 18.
    Gao, Y., Qu, B., Shen, Y., Su, X.J., Dong, X.Y., Chen, X.M., Pi, H.Y.: Bibliometric profile of neurogenic bladder in the literature: a 20-year bibliometric analysis. Neural Regener. Res. 10(5), 797 (2015)CrossRefGoogle Scholar
  19. 19.
    Cheng, T., Zhang, G.: Worldwide research productivity in the field of rheumatology from 1996 to 2010: a bibliometric analysis. Rheumatology 52(9), 1630–1634 (2013). ket008CrossRefGoogle Scholar
  20. 20.
    Sharma, B., Boet, S., Grantcharov, T., Shin, E., Barrowman, N.J., Bould, M.D.: The h-index outperforms other bibliometrics in the assessment of research performance in general surgery: a province-wide study. Surgery 153(4), 493–501 (2013)CrossRefGoogle Scholar
  21. 21.
    Harande, Y.I.: Exploring the literature of diabetes in Nigeria: a bibliometrics study. Afr. J. Diabetes Med. 19(2), 1–4 (2011)Google Scholar
  22. 22.
    Harande, Y.I., Alhaji, I.U.: Basic literature of diabetes: a bibliometrics analysis of three countries in different world regions. J. Libr. Inf. Sci. 2(1), 49–56 (2014)Google Scholar
  23. 23.
    Nasli-Esfahani, E., Farzadfar, F., Kouhnavard, M., Ghodssi-Ghassemabadi, R., Khajavi, A., Peimani, M., Sanjari, M.: Iran diabetes research roadmap (IDRR) study: a preliminary study on diabetes research in the world and Iran. J. Diabetes Metabolic Disorders 16(1), 9 (2017)CrossRefGoogle Scholar
  24. 24.
    Geaney, F., Scutaru, C., Kelly, C., Glynn, R.W., Perry, I.J.: Type 2 diabetes research yield, 1951–2012: bibliometrics analysis and density-equalizing mapping. PLoS ONE 10(7), e0133009 (2015)CrossRefGoogle Scholar
  25. 25.
    Zhang, Y., Shen, X., Chen, D.: Bibliometrics analysis of the relationship research of antipsychotics and type 2 diabetes. Chin. J. Drug Dependence 1, 19 (2011)Google Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.School of EconomicsJinan UniversityGuangzhouChina
  2. 2.The Second Affiliated Hospital of Guangzhou University of Chinese MedicineGuangzhouChina
  3. 3.School of Information Science and TechnologyGuangdong University of Foreign StudiesGuangzhouChina

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