TY - JOUR
AU - von der Lieth, Claus-Wilhelm
AB - Since it is becoming increasingly laborious to manually extract useful information embedded in the ever-growing volumes of literature, automated intelligent text analysis tools are becoming more and more essential to assist in this task. PubFinder (www.glycosciences.de/tools/PubFinder) is a publicly available web tool designed to improve the retrieval rate of scientific abstracts relevant for a specific scientific topic. Only the selection of a representative set of abstracts is required, which are central for a scientific topic. No special knowledge concerning the query-syntax is necessary. Based on the selected abstracts, a list of discriminating words is automatically calculated, which is subsequently used for scoring all defined PubMed abstracts for their probability of belonging to the defined scientific topic. This results in a hit-list of references in the descending order of their likelihood score. The algorithms and procedures implemented in PubFinder facilitate the perpetual task for every scientist of staying up-to-date with current publications dealing with a specific subject in biomedicine.
TI - PubFinder: a tool for improving retrieval rate of relevant PubMed abstracts
JF - Nucleic Acids Research
DO - 10.1093/nar/gki429
DA - 2005-07-01
UR - https://www.deepdyve.com/lp/oxford-university-press/pubfinder-a-tool-for-improving-retrieval-rate-of-relevant-pubmed-sWzxrzYYo0
SP - W774
EP - W778
VL - 33
IS - suppl_2
DP - DeepDyve
ER -