{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T20:34:50Z","timestamp":1772138090566,"version":"3.50.1"},"reference-count":10,"publisher":"Oxford University Press (OUP)","issue":"6","license":[{"start":{"date-parts":[[2018,8,23]],"date-time":"2018-08-23T00:00:00Z","timestamp":1534982400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"funder":[{"name":"CIHR Vanier Scholarship"},{"DOI":"10.13039\/501100001804","name":"Canada Research Chairs Program","doi-asserted-by":"crossref","id":[{"id":"10.13039\/501100001804","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100000245","name":"Michael Smith Foundation for Health Research Scholar","doi-asserted-by":"crossref","id":[{"id":"10.13039\/501100000245","id-type":"DOI","asserted-by":"crossref"}]},{"name":"NSERC Discovery Program"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,3,15]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Summary<\/jats:title>\n                    <jats:p>Adjutant is an open-source, interactive and R-based application to support mining PubMed for literature reviews. Given a PubMed-compatible search query, Adjutant downloads the relevant articles and allows the user to perform an unsupervised clustering analysis to identify data-driven topic clusters. Following clustering, users can also sample documents using different strategies to obtain a more manageable dataset for further analysis. Adjutant makes explicit trade-offs between speed and accuracy, which are modifiable by the user, such that a complete analysis of several thousand documents can take a few minutes. All analytic datasets generated by Adjutant are saved, allowing users to easily conduct other downstream analyses that Adjutant does not explicitly support.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Availability and implementation<\/jats:title>\n                    <jats:p>Adjutant is implemented in R, using Shiny, and is available at https:\/\/github.com\/amcrisan\/Adjutant.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Supplementary information<\/jats:title>\n                    <jats:p>Supplementary data are available at Bioinformatics online.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1093\/bioinformatics\/bty722","type":"journal-article","created":{"date-parts":[[2018,8,22]],"date-time":"2018-08-22T15:19:20Z","timestamp":1534951160000},"page":"1070-1072","source":"Crossref","is-referenced-by-count":14,"title":["Adjutant: an R-based tool to support topic discovery for systematic and literature reviews"],"prefix":"10.1093","volume":"35","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3445-3414","authenticated-orcid":false,"given":"Anamaria","family":"Crisan","sequence":"first","affiliation":[{"name":"Department of Computer Science, University of British Columbia, Vancouver, BC, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tamara","family":"Munzner","sequence":"additional","affiliation":[{"name":"Department of Computer Science, University of British Columbia, Vancouver, BC, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jennifer L","family":"Gardy","sequence":"additional","affiliation":[{"name":"School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada"},{"name":"British Columbia Centre for Disease Control, Vancouver, BC, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2018,8,23]]},"reference":[{"key":"2023013107261685200_bty722-B1","first-page":"160","article-title":"Density-based clustering based on hierarchical density estimates","author":"Campello","year":"2013","journal-title":"Adv. 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