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. 2014 Jul 10;5:31. doi: 10.1186/2041-1480-5-31

Table 1.

Answering competency questions using CSEO-driven semantic search in PubMed abstracts

Query (22.03.2013) No. of retrieved docs: No. of relevant docs: PMIDs of relevant documents:
(([CSEO: “Smoke Constituent”]) AND [CSEO:“ Toxicity”]) AND [CSEO: “Tobacco”]
21
17 (80.95%)
14521141 [25], 1188959 [26], 18848577 [27], 21651432 [28], 17661226 [29], 2002748 [30], 12857635 [31], 19330121 [32], 14698566 [33], 11731039 [34], 18383128 [35], 16859820 [36], 21651433 [37], 21417965 [38], 2165143 1[39], 15072838 [40] , 18464053 [41]
([CSEO: “Electrically heated cigarette”]) AND [CSEO: “Total Particulate Matter”]
7
7 (100%)
12975773 [42], 12975774 [43], 14698566 [33], 12975771 [44], 18590791 [45], 12975772 [46], 16963170 [47]
(([CSEO: “Mouse model”]) AND [CSEO: “Cigarette Smoke Exposure”]) AND [MeSH Disease: “Pulmonary Disease Chronic Obstructive”] 9 9 (100%) 20133926 [48], 19017996 [49], 23044435 [50], 22279084 [51], 18988919 [52], 21700603 [53], 20228194 [54], 19491340 [55],16510458 [56]