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Delineation of the genomics field by hybrid citation-lexical methods: interaction with experts and validation process

Author

Listed:
  • Patricia Laurens

    (Observatoire des sciences et des techniques (OST))

  • Michel Zitt

    (Observatoire des sciences et des techniques (OST)
    INRA SAE2 LERECO—Unit 1134)

  • Elise Bassecoulard

    (INRA SAE2 LERECO—Unit 1134)

Abstract

In advanced methods of delineation and mapping of scientific fields, hybrid methods open a promising path to the capitalisation of advantages of approaches based on words and citations. One way to validate the hybrid approaches is to work in cooperation with experts of the fields under scrutiny. We report here an experiment in the field of genomics, where a corpus of documents has been built by a hybrid citation-lexical method, and then clustered into research themes. Experts of the field were associated in the various stages of the process: lexical queries for building the initial set of documents, the seed; citation-based extension aiming at reducing silence; final clustering to identify noise and allow discussion on border areas. The analysis of experts’ advices show a high level of validation of the process, which combines a high-precision and low-recall seed, obtained by journal and lexical queries, and a citation-based extension enhancing the recall. This findings on the genomics field suggest that hybrid methods can efficiently retrieve a corpus of relevant literature, even in complex and emerging fields.

Suggested Citation

  • Patricia Laurens & Michel Zitt & Elise Bassecoulard, 2010. "Delineation of the genomics field by hybrid citation-lexical methods: interaction with experts and validation process," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(3), pages 647-662, March.
    • Handle: RePEc:spr:scient:v:82:y:2010:i:3:d:10.1007_s11192-010-0177-9
    DOI: 10.1007/s11192-010-0177-9
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    References listed on IDEAS

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    1. 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.
    2. Elise Bassecoulard & Alain Lelu & Michel Zitt, 2007. "Mapping nanosciences by citation flows: A preliminary analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 70(3), pages 859-880, March.
    3. T N van Leeuwen & L J van der Wurff & A F J van Raan, 2001. "The use of combined bibliometric methods in research funding policy," Research Evaluation, Oxford University Press, vol. 10(3), pages 195-201, December.
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    Cited by:

    1. Cassi, Lorenzo & Plunket, Anne, 2010. "The determinants of co-inventor tie formation: proximity and network dynamics," MPRA Paper 27303, University Library of Munich, Germany.
    2. Lorenzo Cassi & Anne Plunket, 2015. "Research Collaboration in Co-inventor Networks: Combining Closure, Bridging and Proximities," Regional Studies, Taylor & Francis Journals, vol. 49(6), pages 936-954, June.
    3. Wolfgang Glänzel, 2015. "Bibliometrics-aided retrieval: where information retrieval meets scientometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(3), pages 2215-2222, March.
    4. Lorenzo Cassi & Anne Plunket, 2014. "Proximity, network formation and inventive performance: in search of the proximity paradox," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 53(2), pages 395-422, September.
    5. Julie Le Gallo & Anne Plunket, 2016. "Technological gatekeepers, regional inventor networks and inventive performance," Working Papers hal-01422916, HAL.
    6. Gallo, Julie Le & Plunket, Anne, 2020. "Regional gatekeepers, inventor networks and inventive performance: Spatial and organizational channels," Research Policy, Elsevier, vol. 49(5).
    7. Luiz Gustavo Antonio Souza & Márcia Azanha Ferraz Dias Moraes & Maria Ester Soares Dal Poz & José Maria Ferreira Jardim Silveira, 2015. "Collaborative Networks as a measure of the Innovation Systems in second-generation ethanol," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(2), pages 355-372, May.
    8. Santiago Ruiz-Navas & Kumiko Miyazaki, 2018. "A complement to lexical query’s search-term selection for emerging technologies: the case of “big data”," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(1), pages 141-162, October.
    9. 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.

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