The bad and the good of trends in model building and refinement for sparse-data regions: pernicious forms of overfitting versus good new tools and predictions is a research paper published in Acta Crystallographica Section D Structural Biology (2023). On theSindex it has a DataRank of 0. It has been cited 6 times.
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?
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.
National Institutes of Health, National Institute of General Medical Sciences
Grant: P01 GM063210, project IV
National Institutes of Health, National Institute of General Medical Sciences
Grant: 1R35 GM131883
NIGMS NIH HHS
Grant: P01 GM063210
NIGMS NIH HHS
Grant: R35 GM131883
National Institutes of Health
Grant: 5P01GM063210-18
Phenix: Integrated algorithms for high quality models from crystallographic and cryo-EM data
National Institutes of Health
Grant: 5R35GM131883-02
Extending MolProbity Diagnosis & Healing Methods to Empower Better CryoEM & Xray Models at 2.5-4A Resolution, plus Versioned, Redeposited "GEMS" for Important Individual Structures
FWCI
0.45
Citation Percentile
0.5%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals