Negative selection on human genes underlying inborn errors depends on disease outcome and both the mode and mechanism of inheritance is a research paper published in Proceedings of the National Academy of Sciences (2021). On theSindex it has a DataRank of 0.665. It has been cited 83 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.
Base Score Contribution
0.665
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 →HHS | NIH | National Center for Advancing Translational Sciences
Grant: UL1TR001866
Agence Nationale de la Recherche
Grant: ANR-10-LABX-62-IBEID
Agence Nationale de la Recherche
Grant: ANR-10-IAHU-01
Agence Nationale de la Recherche
Grant: ANR-15-CE17-0014
Prognostic value of microbial and host determinants for Legionnaires' disease outcome
Agence Nationale de la Recherche
Grant: ANR-10-LABX-69-01
Fondation pour la Recherche Médicale
Grant: DEQ20180339214
Fondation Allianz-Institut de France
Grant: na
NIAID NIH HHS
Grant: P01 AI061093
National Institutes of Health
Grant: 5UL1TR001866-07
Developing, Demonstrating, and Disseminating Innovative Programs to Achieve Translational Success
FWCI
10.28
Citation Percentile
1.0%
Influential Citations
3
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals
Additional file 1 of Mendelian gene identification through mouse embryo viability screening
Additional file 1 of Mendelian gene identification through mouse embryo viability screening
Additional file 2 of Mendelian gene identification through mouse embryo viability screening
Additional file 2 of Mendelian gene identification through mouse embryo viability screening
Additional file 1 of An unsupervised deep learning framework for predicting human essential genes from population and functional genomic data
Additional file 1 of An unsupervised deep learning framework for predicting human essential genes from population and functional genomic data
Additional file 5 of An unsupervised deep learning framework for predicting human essential genes from population and functional genomic data
Additional file 4 of An unsupervised deep learning framework for predicting human essential genes from population and functional genomic data
Additional file 3 of An unsupervised deep learning framework for predicting human essential genes from population and functional genomic data
Additional file 4 of An unsupervised deep learning framework for predicting human essential genes from population and functional genomic data
Additional file 2 of An unsupervised deep learning framework for predicting human essential genes from population and functional genomic data
Additional file 5 of An unsupervised deep learning framework for predicting human essential genes from population and functional genomic data
Additional file 2 of An unsupervised deep learning framework for predicting human essential genes from population and functional genomic data
Additional file 3 of An unsupervised deep learning framework for predicting human essential genes from population and functional genomic data