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Authors: Morteza Maghrebi, Ali Abbasi, Saeid Amiri, Reza Monsefi, and Ahad Harati

and Bassecoulard 2006 ). The cornerstone for any bibliometric quantification practice is to build up a lexical query (LQ). LQ can be defined as a set of keywords/terms organized with suitable Boolean operators (e.g., OR, AND, NOT), in order to

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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.

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querying keywords and prominent terms in titles, abstracts and patent claims, are found to gather publications and patents of nanotechnology, including effortless term search for the prefix “nano”, intricate and evolutionary lexical queries, citation

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