An automatic method to generate domain-specific investigator networks using PubMed abstracts Export

@article{Yu2007, abstract = {We developed a novel strategy to obtain detailed investigator information by automatically parsing the affiliation string in PubMed records. We illustrated the results by using a published literature database in human genome epidemiology (HuGE Pub Lit) as a test case. Our parsing strategy extracted country information from 92.1\ of the affiliation strings in a random sample of PubMed records and in 97.0\ of HuGE records, with accuracies of 94.0\% and 91.0\%, respectively. Institution information was parsed from 91.3\% of the general PubMed records (accuracy 86.8\%) and from 94.2\% of HuGE PubMed records (accuracy 87.0).}, author = {Yu, Wei and Yesupriya, Ajay and Wulf, Anja and Qu, Junfeng and Gwinn, Marta}, citeulike-article-id = {1722460}, citeulike-linkout-0 = {http://www.biomedcentral.com/1472-6947/7/17}, citeulike-linkout-1 = {http://dx.doi.org/10.1186/1472-6947-7-17}, doi = {10.1186/1472-6947-7-17}, journal = {BMC Medical Informatics and Decision Making}, keywords = {academic-networks, data-mining, databases, hugenet}, pages = {17}, posted-at = {2007-10-03 04:41:31}, priority = {2}, title = {An automatic method to generate domain-specific investigator networks using PubMed abstracts}, url = {http://dx.doi.org/10.1186/1472-6947-7-17}, volume = {7}, year = {2007} }

TY - JOUR ID - Yu2007 L3 - citeulike-article-id:1722460 N2 - We developed a novel strategy to obtain detailed investigator information by automatically parsing the affiliation string in PubMed records. We illustrated the results by using a published literature database in human genome epidemiology (HuGE Pub Lit) as a test case. Our parsing strategy extracted country information from 92.1\ of the affiliation strings in a random sample of PubMed records and in 97.0\ of HuGE records, with accuracies of 94.0\% and 91.0\%, respectively. Institution information was parsed from 91.3\% of the general PubMed records (accuracy 86.8\%) and from 94.2\% of HuGE PubMed records (accuracy 87.0). JF - BMC Medical Informatics and Decision Making EP - 17 TI - An automatic method to generate domain-specific investigator networks using PubMed abstracts VL - 7 SP - 17 KW - academic-networks KW - data-mining KW - databases KW - hugenet AU - Yu, Wei AU - Yesupriya, Ajay AU - Wulf, Anja AU - Qu, Junfeng AU - Gwinn, Marta PY - 2007/// UR - http://dx.doi.org/10.1186/1472-6947-7-17 ER -