Development and validation of an interpretable machine learning model for non-invasive screening of precancerous gastric lesions using symptom and lifestyle data: a multicentre cohort study is a research paper published in eClinicalMedicine (2026). On theSindex it has a DataRank of 0.208. It has been cited 3 times.
Scored on demand from live citation data
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
We only score data papers we can read in full — never from an abstract alone.
Base Score Contribution
0.208
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →State Administration of Traditional Chinese Medicine of the People's Republic of China
Grant: ZYYCXTD-D-202405
National Natural Science Foundation of China
Grant: 82305047
National Natural Science Foundation of China
Grant: T2341008
FWCI
17.29
Citation Percentile
1.0%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals