Eliminating accidental deviations to minimize generalization error and maximize replicability: Applications in connectomics and genomics is a research paper published in PLoS Computational Biology (2021). On theSindex it has a DataRank of 0.604. It has been cited 55 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
0.604
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 →National Science Foundation
Grant: DMS-1707298
National Institutes of Health
Grant: 1R01MH120482-01
Reproducible imaging-based brain growth charts for psychiatry
Defense Advanced Research Projects Agency
Grant: N66001-15-C-40401
National Basic Research Program of China
Grant: 2015CB351702
Natural Science Foundation of China
Grant: 81471740
Natural Science Foundation of China
Grant: 81220108014
China Netherlands CAS-NWO Programme
Grant: 153111KYSB20160020
Beijing Municipal Science and Tech Commission
Grant: Z161100002616023
Beijing Municipal Science and Tech Commission
Grant: Z171100000117012
Start-up Funds for Leading Talents at Beijing Normal University, the Major Project of National Social Science Foundation of China
Grant: 20&ZD296
National Basic Science Data Center “Chinese Data-sharing Warehouse for In-vivo Imaging Brain”
Grant: NBSDC-DB-15
Guangxi Bagui Scholarship
Grant: 201621
National Science Foundation
Grant: 1707298
NeuroNex Innovation Award: Towards Automatic Analysis of Multi-Terabyte Cleared Brains
Fields of Study
Keywords