Chemical Language Model Linker: Blending Text and Molecules with Modular Adapters is a research paper published in Journal of Chemical Information and Modeling (2025). On theSindex it has a DataRank of 0.325. It has been cited 6 times, with 5 citing works in its 1-hop citation network.
Scored on demand from live citation data
Linked data & code
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
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Base Score Contribution
0.292
From this paper's citation signal
Citation Network Contribution
0.0332
From 3 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 5 citers.
National Cancer Institute
Grant: P30CA014520
National Institute of General Medical Sciences
Grant: R01GM135631
National Institutes of Health
Grant: 5R01GM135631-03
A Machine Learning Platform for Adaptive Chemical Screening
FWCI
3.97
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals
Center for High Throughput Computing
Chemical Language Model Linker: blending text and molecules with modular adapters
Chemical Language Model Linker datasets and models
Chemical Language Model Linker datasets and models
gitter-lab/ChemLML: Version 0.2.0
gitter-lab/ChemLML: Version 0.2.0