Automatic generation of investigator bibliographies for institutional research networking systems Academic Article uri icon

Overview

MeSH Major

  • Abstracting and Indexing as Topic
  • Algorithms
  • Authorship
  • Data Mining
  • Natural Language Processing
  • Pattern Recognition, Automated
  • PubMed

abstract

  • ReCiter accesses the most current citation data, uses limited computational resources and minimizes manual entry by investigators. Generation of bibliographies using named-based queries will not yield high accuracy. Proprietary databases can perform well but requite manual effort. Automated generation with higher recall is possible but requires additional knowledge about investigators.

publication date

  • January 2014

Research

keywords

  • Academic Article

Identity

Language

  • eng

PubMed Central ID

  • PMC4180817

Digital Object Identifier (DOI)

  • 10.1016/j.jbi.2014.03.013

PubMed ID

  • 24694772

Additional Document Info

start page

  • 8

end page

  • 14

volume

  • 51