IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v98y2014i3d10.1007_s11192-013-1128-z.html
   My bibliography  Save this article

Bibliometric analysis of global publication output and collaboration structure study in microRNA research

Author

Listed:
  • Ajoy Mallik

    (Bose Institute)

  • Nripendranath Mandal

    (Bose Institute)

Abstract

The study aimed to analyse the global research output related to microRNA (miRNA), based on the fact that it has diverse expression patterns and might regulate various developmental and physiological processes. First miRNA was identified as small RNA in 1993 but its function as biological regulator was unknown till 2000. Since then the research in miRNAs has got momentum. To understand and visualize the research dynamics and the research structure of the field, the publications appeared in Science Citation Index expanded database for 2002–2012 under miRNA category using specific search string, were analysed. A sum of more than 14,000 documents found from Web of Science database for the same period. This study detected major productive countries, high productive-institutions, authors, research areas, journals and document types, along with their individual citation impacts. The inter-collaborative linkages of countries, organizations and authors were also analysed. The study has observed that number of publication increased from 8 in 2002 to 4,186 in 2012 with compound annual growth rate of 87 %. The compound annual growth rates of countries, institutions, number of journals, research areas, and authors are 36.60, 76.64, 64.80, 30.5, and 88.09 % respectively.

Suggested Citation

  • Ajoy Mallik & Nripendranath Mandal, 2014. "Bibliometric analysis of global publication output and collaboration structure study in microRNA research," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 2011-2037, March.
  • Handle: RePEc:spr:scient:v:98:y:2014:i:3:d:10.1007_s11192-013-1128-z
    DOI: 10.1007/s11192-013-1128-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-013-1128-z
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11192-013-1128-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Wen-Ta Chiu & Yuh-Shan Ho, 2007. "Bibliometric analysis of tsunami research," Scientometrics, Springer;Akadémiai Kiadó, vol. 73(1), pages 3-17, October.
    2. Limei Zhao & Qingpu Zhang, 2011. "Mapping knowledge domains of Chinese digital library research output, 1994–2010," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(1), pages 51-87, October.
    3. Prabir G. Dastidar & Ajoy Mallik & Nripendranath Mandal, 2013. "Contribution of shrimp disease research to the development of the shrimp aquaculture industry: an analysis of the research and innovation structure across the countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(3), pages 659-674, December.
    4. Matthew N. Poy & Lena Eliasson & Jan Krutzfeldt & Satoru Kuwajima & Xiaosong Ma & Patrick E. MacDonald & Sébastien Pfeffer & Thomas Tuschl & Nikolaus Rajewsky & Patrik Rorsman & Markus Stoffel, 2004. "A pancreatic islet-specific microRNA regulates insulin secretion," Nature, Nature, vol. 432(7014), pages 226-230, November.
    5. Anthony F. J. Raan, 2006. "Comparison of the Hirsch-index with standard bibliometric indicators and with peer judgment for 147 chemistry research groups," Scientometrics, Springer;Akadémiai Kiadó, vol. 67(3), pages 491-502, June.
    6. Ulrich Schmoch & Torben Schubert, 2008. "Are international co-publications an indicator for quality of scientific research?," Scientometrics, Springer;Akadémiai Kiadó, vol. 74(3), pages 361-377, March.
    7. Wolfgang Glänzel, 2000. "Science in Scandinavia: A Bibliometric Approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 48(2), pages 121-150, September.
    8. Leo Egghe, 2006. "Theory and practise of the g-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 69(1), pages 131-152, October.
    9. Per O. Seglen & Dag W. Aksnes, 2000. "Scientific Productivity and Group Size: A Bibliometric Analysis of Norwegian Microbiological Research," Scientometrics, Springer;Akadémiai Kiadó, vol. 49(1), pages 125-143, August.
    10. Xingjian Liu & F. Benjamin Zhan & Song Hong & Beibei Niu & Yaolin Liu, 2012. "A bibliometric study of earthquake research: 1900–2010," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(3), pages 747-765, September.
    11. Prabir G. Dastidar, 2004. "Ocean Science & Technology research across the countries: A global scenario," Scientometrics, Springer;Akadémiai Kiadó, vol. 59(1), pages 15-27, January.
    12. Wolfgang Glänzel, 2000. "Science in Scandinavia: A Bibliometric Approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 49(2), pages 357-357, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jiancheng Guan & Yan Yan & Jingjing Zhang, 2015. "How do collaborative features affect scientific output? Evidences from wind power field," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 333-355, January.
    2. Gerardo Tibaná-Herrera & María Teresa Fernández-Bajón & Félix Moya-Anegón, 2018. "Global analysis of the E-learning scientific domain: a declining category?," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(2), pages 675-685, February.
    3. Lixian Wang & Xi Chen & Anming Bao & Xiaoyun Zhang & Miao Wu & Yun Hao & Jingjing He, 2015. "A bibliometric analysis of research on Central Asia during 1990–2014," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(2), pages 1223-1237, November.
    4. Tapasree Basu & Ajoy Mallik & Nripendranath Mandal, 2017. "Evolving importance of anticancer research using herbal medicine: a scientometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(3), pages 1375-1396, March.
    5. Mohammadmahdi Vakilian & Burhanuddin Yeop Majlis & Maryam Mousavi, 2015. "A bibliometric analysis of lab-on-a-chip research from 2001 to 2013," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(2), pages 789-804, November.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yanhua Zhuang & Xingjian Liu & Thuminh Nguyen & Qingqing He & Song Hong, 2013. "Global remote sensing research trends during 1991–2010: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(1), pages 203-219, July.
    2. Quan Li & Wenbo Wei & Nian Xiong & Daici Feng & Xinyue Ye & Yongsheng Jiang, 2017. "Social Media Research, Human Behavior, and Sustainable Society," Sustainability, MDPI, vol. 9(3), pages 1-11, March.
    3. Qing Cheng & Xin Lu & Zhong Liu & Jincai Huang, 2015. "Mining research trends with anomaly detection models: the case of social computing research," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(2), pages 453-469, May.
    4. Bar-Ilan, Judit, 2008. "Informetrics at the beginning of the 21st century—A review," Journal of Informetrics, Elsevier, vol. 2(1), pages 1-52.
    5. Neil C. Mitchell, 2020. "Comparing the post-WWII publication histories of oceanography and marine geoscience," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 843-866, August.
    6. Tapasree Basu & Ajoy Mallik & Nripendranath Mandal, 2017. "Evolving importance of anticancer research using herbal medicine: a scientometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(3), pages 1375-1396, March.
    7. Deming Lin & Tianhui Gong & Wenbin Liu & Martin Meyer, 2020. "An entropy-based measure for the evolution of h index research," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2283-2298, December.
    8. Hui-Zhen Fu & Yuh-Shan Ho, 2013. "Comparison of independent research of China’s top universities using bibliometric indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(1), pages 259-276, July.
    9. Serge Galam, 2011. "Tailor based allocations for multiple authorship: a fractional gh-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(1), pages 365-379, October.
    10. Qing Ji & Xiaoping Pang & Xi Zhao, 2014. "A bibliometric analysis of research on Antarctica during 1993–2012," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(3), pages 1925-1939, December.
    11. Judit Bar-Ilan & Mark Levene, 2015. "The hw-rank: an h-index variant for ranking web pages," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(3), pages 2247-2253, March.
    12. Rey-Martí, Andrea & Ribeiro-Soriano, Domingo & Palacios-Marqués, Daniel, 2016. "A bibliometric analysis of social entrepreneurship," Journal of Business Research, Elsevier, vol. 69(5), pages 1651-1655.
    13. Stefano Vannucci, 2010. "Dominance dimension: a common parametric formulation for integer-valued scientific impact indices," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(1), pages 43-48, July.
    14. Bornmann, Lutz & Marx, Werner, 2012. "HistCite analysis of papers constituting the h index research front," Journal of Informetrics, Elsevier, vol. 6(2), pages 285-288.
    15. Tasso Brandt & Torben Schubert, 2013. "Is the university model an organizational necessity? Scale and agglomeration effects in science," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(2), pages 541-565, February.
    16. Marek Gągolewski & Przemysław Grzegorzewski, 2009. "A geometric approach to the construction of scientific impact indices," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(3), pages 617-634, December.
    17. Irena Sajovic & Bojana Boh Podgornik, 2022. "Bibliometric Analysis of Visualizations in Computer Graphics: A Study," SAGE Open, , vol. 12(1), pages 21582440211, January.
    18. Franceschini, Fiorenzo & Maisano, Domenico, 2010. "The Hirsch spectrum: A novel tool for analyzing scientific journals," Journal of Informetrics, Elsevier, vol. 4(1), pages 64-73.
    19. Antonis Sidiropoulos & Dimitrios Katsaros & Yannis Manolopoulos, 2007. "Generalized Hirsch h-index for disclosing latent facts in citation networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 72(2), pages 253-280, August.
    20. Yuxian Liu & Ronald Rousseau, 2009. "Properties of Hirsch-type indices: the case of library classification categories," Scientometrics, Springer;Akadémiai Kiadó, vol. 79(2), pages 235-248, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:scient:v:98:y:2014:i:3:d:10.1007_s11192-013-1128-z. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.