EconPapers    
Economics at your fingertips  
 

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

Patricia Laurens (), Michel Zitt () and Elise Bassecoulard ()
Additional contact information
Patricia Laurens: Observatoire des sciences et des techniques (OST)
Michel Zitt: Observatoire des sciences et des techniques (OST)
Elise Bassecoulard: INRA SAE2 LERECO—Unit 1134

Scientometrics, 2010, vol. 82, issue 3, No 16, 647-662

Abstract: 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.

Keywords: Information retrieval; Bibliographic coupling; Genomics; Citation methods; Bibliometrics; Science mapping; Field delineation (search for similar items in EconPapers)
Date: 2010
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (11)

Downloads: (external link)
http://link.springer.com/10.1007/s11192-010-0177-9 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:scient:v:82:y:2010:i:3:d:10.1007_s11192-010-0177-9

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192

DOI: 10.1007/s11192-010-0177-9

Access Statistics for this article

Scientometrics is currently edited by Wolfgang Glänzel

More articles in Scientometrics from Springer, Akadémiai Kiadó
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:scient:v:82:y:2010:i:3:d:10.1007_s11192-010-0177-9