{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,5,25]],"date-time":"2022-05-25T12:42:31Z","timestamp":1653482551585},"reference-count":0,"publisher":"IOS Press","license":[{"start":{"date-parts":[[2022,5,25]],"date-time":"2022-05-25T00:00:00Z","timestamp":1653436800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,5,25]]},"abstract":"<jats:p>We present an analysis of supplementary materials of PubMed Central (PMC) articles and show their importance in indexing and searching biomedical literature, in particular for the emerging genomic medicine field. On a subset of articles from PubMed Central, we use text mining methods to extract MeSH terms from abstracts, full texts, and text-based supplementary materials. We find that the recall of MeSH annotations increases by about 5.9 percentage points (+20% on relative percentage) when considering supplementary materials compared to using only abstracts. We further compare the supplementary material annotations with full-text annotations and we find out that the recall of MeSH terms increases by 1.5 percentage point (+3% on relative percentage). Additionally, we analyze genetic variant mentions in abstracts and full-texts and compare them with mentions found in supplementary text-based files. We find that the majority (about 99%) of variants are found in text-based supplementary files. In conclusion, we suggest that supplementary data should receive more attention from the information retrieval community, in particular in life and health sciences.<\/jats:p>","DOI":"10.3233\/shti220614","type":"book-chapter","created":{"date-parts":[[2022,5,25]],"date-time":"2022-05-25T12:18:02Z","timestamp":1653481082000},"source":"Crossref","is-referenced-by-count":0,"title":["Analyzing the Information Content of Text-Based Files in Supplementary Materials of Biomedical Literature"],"prefix":"10.3233","author":[{"given":"Nona","family":"Naderi","sequence":"first","affiliation":[{"name":"University of Applied Sciences and Arts of Western Switzerland (HES-SO)"},{"name":"Swiss Institute of Bioinformatics, Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ana\u00efs","family":"Mottaz","sequence":"additional","affiliation":[{"name":"University of Applied Sciences and Arts of Western Switzerland (HES-SO)"},{"name":"Swiss Institute of Bioinformatics, Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Douglas","family":"Teodoro","sequence":"additional","affiliation":[{"name":"University of Applied Sciences and Arts of Western Switzerland (HES-SO)"},{"name":"Swiss Institute of Bioinformatics, Switzerland"},{"name":"University of Geneva, Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Patrick","family":"Ruch","sequence":"additional","affiliation":[{"name":"University of Applied Sciences and Arts of Western Switzerland (HES-SO)"},{"name":"Swiss Institute of Bioinformatics, Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Challenges of Trustable AI and Added-Value on Health"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI220614","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,25]],"date-time":"2022-05-25T12:18:04Z","timestamp":1653481084000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI220614"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,25]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti220614","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,5,25]]}}}