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©The Author(s) 2025.
World J Methodol. Dec 20, 2025; 15(4): 102000
Published online Dec 20, 2025. doi: 10.5662/wjm.v15.i4.102000
Published online Dec 20, 2025. doi: 10.5662/wjm.v15.i4.102000
Table 1 Search strategy using the Web of Science Core Collection
Ref. | Search strategies |
Liu et al[1] | TS = (“stomach neoplasm” OR “stomach cancer” OR “stomach tumour stomach carcinoma” OR “gastric carcinoma” OR “gastric carcinoma” OR “gastric cancer” OR “gastric neoplasm” OR “gastric tumour”) AND TS = (“depression” OR “depressive disorder” OR “depressive symptom”) AND PY = 2000-2022 AND DT = (article or review) |
Dai et al[2] | TS = ((nonalcoholic fatty liver) OR (non-alcoholic fatty liver disease) OR (NAFLD) OR (MAFLD) OR (metabolic dysfunction-associated fatty liver disease) OR (metabolic associated fatty liver disease)) AND TS = ((therapy) OR (treatment)) AND LA = English AND DT = (article or review) AND PY = 2010-2023 (April 12, 2023) |
Zhou et al[3] | TS = (“inflammatory bowel disease” OR “ulcerative colitis” OR “crohn’s disease”) AND TS = (intestin OR gut OR bowel) AND TS = (barrier OR integrity OR permeability) AND LA = English AND DT = article AND PY = 2001-2021 |
Zhang et al[4] | TS = ((liver cirrhosis OR hepatic cirrhosis OR liver fibrosis) AND (immunologic factor OR immune factor OR immunomodulator OR biological response modifier OR biomodulator)) AND DT = (article or review) AND PY = 2003-2022 |
Du et al[5] | TS = ((“artificial intelligence” OR “AI” OR “deep learning” OR “machine learning” OR “machine intelligence” OR “computer” OR “computational intelligence” OR “neural network” OR “knowledge acquisition” OR “automatic” OR “automated” OR “feature extraction” OR “image segmentation” OR “neural learning” OR “artificial neural network” OR “data mining” OR “data clustering” OR “big data”) AND (“endoscopy” OR “endoscope”)) AND LA = English AND PY = 1990-2022 |
Fu et al[6] | TS = ((intestinal microcirculation) OR (intestinal microvascular)) AND LA = English AND DT = (article or review) AND PY = 2000-2021 |
Table 2 Comparison of results using “front page” as a filter
Ref. | TP searched out | TP in study period | TP with search keywords in their “front page” | TP from the original paper |
Liu et al[1] | 284 articles and reviews | 282 articles and reviews (99.3% of 284 articles) | 200 articles and reviews (71% of 282 articles) | 153 articles and reviews |
Dai et al[2] | 13183 English articles and reviews | 13133 English articles and reviews (99.6% of 13183 articles) | 11280 English articles and reviews (86% of 13133 articles) | 10829 English articles and reviews |
Zhou et al[3] | 4644 English articles | 4585 English articles (98.7% of 4644 articles) | 3163 English articles (69% of 4585 articles) | 4482 English articles |
Zhang et al[4] | 3074 articles and reviews | 3050 articles and reviews (99.2% of 3074 articles) | 1604 articles and reviews (53% of 3050 articles) | 2873 articles and reviews |
Du et al[5] | 4252 English documents | 4197 English documents (98.7% of 4252 articles) | 3820 English documents (91% of 4197 articles) | 446 English documents |
Fu et al[6] | 1352 English articles and reviews | 1343 English articles and reviews (99.3% of 1352 articles) | 952 English articles and reviews (71% of 1343 articles) | 1364 English articles and reviews |
- Citation: Ho YS, Ouchi A. Some comments on using of Web of Science Core Collection for bibliometric studies in volume 29 of the World Journal of Gastroenterology. World J Methodol 2025; 15(4): 102000
- URL: https://www.wjgnet.com/2222-0682/full/v15/i4/102000.htm
- DOI: https://dx.doi.org/10.5662/wjm.v15.i4.102000