IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v60y2004i2d10.1023_bscie.0000027677.79173.b8.html
   My bibliography  Save this article

The classification of biomedical journals by research level

Author

Listed:
  • Grant Lewison

    (Northampton Square, City University)

  • Guillermo Paraje

    (World Health Organization)

Abstract

A new method of classification of biomedical research journals by research level (RL) into clinical or basic, or somewhere in between, is described that updates the system developed by CHI Research Inc. nearly 30 years ago. It is based on counting articles that have one of about 100 “clinical” title words, or one of a similar number of “basic” title words, or both. It allows over 3000 journals in the Science Citation Index (or other databases) to be classified rapidly and transparently, for changes in their research level with time, and for many individual papers in “mixed” journals to be categorised as clinical or basic.

Suggested Citation

  • Grant Lewison & Guillermo Paraje, 2004. "The classification of biomedical journals by research level," Scientometrics, Springer;Akadémiai Kiadó, vol. 60(2), pages 145-157, June.
    • Handle: RePEc:spr:scient:v:60:y:2004:i:2:d:10.1023_b:scie.0000027677.79173.b8
    DOI: 10.1023/B:SCIE.0000027677.79173.b8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1023/B:SCIE.0000027677.79173.b8
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1023/B:SCIE.0000027677.79173.b8?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. G. Lewison, 1999. "The definition and calibration of biomedical subfields," Scientometrics, Springer;Akadémiai Kiadó, vol. 46(3), pages 529-537, November.
    2. Francis Narin & Gabriel Pinski & Helen Hofer Gee, 1976. "Structure of the Biomedical Literature," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 27(1), pages 25-45, January.
    3. Grant Lewison, 1996. "The definition of biomedical research subfields with title keywords and application to the analysis of research outputs," Research Evaluation, Oxford University Press, vol. 6(1), pages 25-36, April.
    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. Lakshmi Balachandran Nair & Michael Gibbert, 2016. "What makes a ‘good’ title and (how) does it matter for citations? A review and general model of article title attributes in management science," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(3), pages 1331-1359, June.
    2. Oriana Rainho Brás & Jean-Philippe Cointet & Alberto Cambrosio & Leonor David & João Arriscado Nunes & Fátima Cardoso & Carmen Jerónimo, 2017. "Oncology research in late twentieth century and turn of the century Portugal: a scientometric approach to its institutional and semantic dimensions," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(2), pages 867-888, November.
    3. Victoria Bakare & Grant Lewison, 2017. "Country over-citation ratios," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(2), pages 1199-1207, November.
    4. Boyack, Kevin W. & Patek, Michael & Ungar, Lyle H. & Yoon, Patrick & Klavans, Richard, 2014. "Classification of individual articles from all of science by research level," Journal of Informetrics, Elsevier, vol. 8(1), pages 1-12.
    5. Ajay Aggarwal & Preeti Patel & Grant Lewison & Abdulkarim Ekzayez & Adam Coutts & Fouad M Fouad & Omar Shamieh & Rita Giacaman & Tezer Kutluk & Rima Abdul Khalek & Mark Lawler & Peter Boyle & Diana Sa, 2020. "The Profile of Non-Communicable Disease (NCD) research in the Middle East and North Africa (MENA) region: Analyzing the NCD burden, research outputs and international research collaboration," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-19, April.
    6. Ma, Jing & Abrams, Natalie F. & Porter, Alan L. & Zhu, Donghua & Farrell, Dorothy, 2019. "Identifying translational indicators and technology opportunities for nanomedical research using tech mining: The case of gold nanostructures," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 767-775.
    7. Anckaert, Paul-Emmanuel & Cassiman, David & Cassiman, Bruno, 2020. "Fostering practice-oriented and use-inspired science in biomedical research," Research Policy, Elsevier, vol. 49(2).
    8. Xin Li & Xuli Tang & Wei Lu, 2023. "Tracking biomedical articles along the translational continuum: a measure based on biomedical knowledge representation," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(2), pages 1295-1319, February.
    9. Xin Li & Xuli Tang & Wei Lu, 2024. "How biomedical papers accumulated their clinical citations: a large-scale retrospective analysis based on PubMed," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(6), pages 3315-3339, June.
    10. Grant Lewison & Philip Roe, 2012. "The evaluation of Indian cancer research, 1990–2010," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(1), pages 167-181, October.
    11. Li, Xin & Tang, Xuli & Cheng, Qikai, 2022. "Predicting the clinical citation count of biomedical papers using multilayer perceptron neural network," Journal of Informetrics, Elsevier, vol. 16(4).
    12. Grant Lewison & Richard Sullivan, 2015. "Conflicts of interest statements on biomedical papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(3), pages 2151-2159, March.
    13. Dongyu Zang & Chunli Liu, 2023. "Exploring the clinical translation intensity of papers published by the world’s top scientists in basic medicine," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(4), pages 2371-2416, April.
    14. Magnus Eriksson & Annika Billhult & Tommy Billhult & Elena Pallari & Grant Lewison, 2020. "A new database of the references on international clinical practice guidelines: a facility for the evaluation of clinical research," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(2), pages 1221-1235, February.
    15. Li, Xin & Tang, Xuli, 2021. "Characterizing interdisciplinarity in drug research: A translational science perspective," Journal of Informetrics, Elsevier, vol. 15(4).
    16. Sultana, Atia & Lewison, Grant & Pallari, Elena, 2019. "The evaluation of mental disorders research reported in British and Irish newspapers between 2002 and 2013, and a comparison with the relative disease burdens and with research outputs in the two coun," Health Policy, Elsevier, vol. 123(4), pages 419-426.
    17. Grant Lewison & Thomas Turnbull, 2010. "News in brief and features in New Scientist magazine and the biomedical research papers that they cite, August 2008 to July 2009," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(1), pages 345-359, October.
    18. Bar-Ilan, Judit, 2008. "Informetrics at the beginning of the 21st century—A review," Journal of Informetrics, Elsevier, vol. 2(1), pages 1-52.
    19. Rons, Nadine, 2018. "Bibliometric approximation of a scientific specialty by combining key sources, title words, authors and references," Journal of Informetrics, Elsevier, vol. 12(1), pages 113-132.
    20. Du, Jian & Li, Peixin & Guo, Qianying & Tang, Xiaoli, 2019. "Measuring the knowledge translation and convergence in pharmaceutical innovation by funding-science-technology-innovation linkages analysis," Journal of Informetrics, Elsevier, vol. 13(1), pages 132-148.

    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. Carmen López-Illescas & Ed C.M. Noyons & Martijn S. Visser & Félix De Moya-Anegón & Henk F. Moed, 2009. "Expansion of scientific journal categories using reference analysis: How can it be done and does it make a difference?," Scientometrics, Springer;Akadémiai Kiadó, vol. 79(3), pages 473-490, June.
    2. Rons, Nadine, 2018. "Bibliometric approximation of a scientific specialty by combining key sources, title words, authors and references," Journal of Informetrics, Elsevier, vol. 12(1), pages 113-132.
    3. Jacqueline Leta & Grant Lewison, 2003. "The contribution of women in Brazilian science: A case study in astronomy, immunology and oceanography," Scientometrics, Springer;Akadémiai Kiadó, vol. 57(3), pages 339-353, July.
    4. Dag W. Aksnes & Terje Bruen Olsen & Per O. Seglen, 2000. "Validation of Bibliometric Indicators in the Field of Microbiology: A Norwegian Case Study," Scientometrics, Springer;Akadémiai Kiadó, vol. 49(1), pages 7-22, August.
    5. Belén Álvarez-Bornstein & Adrián A. Díaz-Faes & María Bordons, 2019. "What characterises funded biomedical research? Evidence from a basic and a clinical domain," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 805-825, May.
    6. Albert Banal-Estañol & Qianshuo Liu & Inés Macho-Stadler & David Pérez-Castrillo, 2021. "Similar-to-me Effects in the Grant Application Process: Applicants, Panelists, and the Likelihood of Obtaining Funds," Working Papers 1289, Barcelona School of Economics.
    7. Boyack, Kevin W. & Patek, Michael & Ungar, Lyle H. & Yoon, Patrick & Klavans, Richard, 2014. "Classification of individual articles from all of science by research level," Journal of Informetrics, Elsevier, vol. 8(1), pages 1-12.
    8. Banal-Estañol, Albert & Macho-Stadler, Inés & Pérez-Castrillo, David, 2019. "Evaluation in research funding agencies: Are structurally diverse teams biased against?," Research Policy, Elsevier, vol. 48(7), pages 1823-1840.
    9. Ke, Qing, 2020. "Technological impact of biomedical research: The role of basicness and novelty," Research Policy, Elsevier, vol. 49(7).
    10. Grit Laudel, 2003. "Studying the brain drain: Can bibliometric methods help?," Scientometrics, Springer;Akadémiai Kiadó, vol. 57(2), pages 215-237, June.
    11. Albert Banal-Estañol & Inés Macho-Stadler, 2007. "Financial Incentives in Academia: Research versus Development," Working Papers 295, Barcelona School of Economics.
    12. Elena Pallari & Grant Lewison, 2022. "Cardiovascular and cancer risk factors analysis for 2001–2020 from the global research output and European newspapers," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(9), pages 5159-5174, September.
    13. Chiara Franzoni & Christopher L. Simpkins & Baoli Li & Ashwin Ram, 2010. "Using content analysis to investigate the research paths chosen by scientists over time," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(1), pages 321-335, April.
    14. Lundberg, Jonas, 2007. "Lifting the crown—citation z-score," Journal of Informetrics, Elsevier, vol. 1(2), pages 145-154.
    15. Michel Zitt, 2015. "Meso-level retrieval: IR-bibliometrics interplay and hybrid citation-words methods in scientific fields delineation," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(3), pages 2223-2245, March.
    16. Lawson, Cornelia & Salter, Ammon, 2023. "Exploring the effect of overlapping institutional applications on panel decision-making," Research Policy, Elsevier, vol. 52(9).
    17. Xin Li & Xuli Tang & Wei Lu, 2023. "Tracking biomedical articles along the translational continuum: a measure based on biomedical knowledge representation," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(2), pages 1295-1319, February.
    18. Thursby, Jerry G. & Thursby, Marie C., 2011. "Has the Bayh-Dole act compromised basic research?," Research Policy, Elsevier, vol. 40(8), pages 1077-1083, October.
    19. Antonio J. Gómez-Núñez & Benjamín Vargas-Quesada & Félix Moya-Anegón & Wolfgang Glänzel, 2011. "Improving SCImago Journal & Country Rank (SJR) subject classification through reference analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(3), pages 741-758, December.
    20. G. Steven McMillan & Robert D. Hamilton, 2007. "The public science base of US biotechnology: A citation-weighted approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 72(1), pages 3-10, July.

    More about this item

    Statistics

    Access and download statistics

    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:60:y:2004:i:2:d:10.1023_b:scie.0000027677.79173.b8. 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.