Search Results

You are looking at 1 - 3 of 3 items for :

  • "Field delineation" x
  • Mathematics and Statistics x
  • Refine by Access: All Content x
Clear All


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.

Restricted access

specification can further be informed on theoretical grounds.) Using quantiles and percentile ranks, the observed values can be tested against the expected ones using non-parametric statistics. Furthermore, and not specific as criticism of EEE, field

Open access

-scientific publications or to scientific publications not covered. Going back to the ideal representation and assuming that an a priori field delineation of the whole set of publications is performed—i.e., publications are divided into groups associated with the

Restricted access