The combination of a genome-wide association study of lymphocyte count and analysis of gene expression data reveals novel asthma candidate genes
The combination of a genome-wide association study of lymphocyte count and analysis of gene expression data reveals novel asthma candidate genes is a research paper published in Human Molecular Genetics (2012). On theSindex it has a DataRank of 1.9. It has been cited 53 times, with 38 citing works in its 1-hop citation network.
›Data sources & pipeline
FAIR Checklist
Context only (not used in score)- Has DOI
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
DataRank Breakdown
Base Score Contribution
0.598
From this paper's citation signal
Citation Network Contribution
1.3
From 32 citing papers with measurable signal
Top 5 citers driving the network score
Ranked by citation count — the same ordering the engine uses when summing log1p(Cq) over citers.
- Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple TestingJournal of the Royal Statistical Society Series B: Statistical Methodology1995106,426 citationsDataRank 1.7
- KEGG: Kyoto Encyclopedia of Genes and GenomesNucleic Acids Research200038,911 citationsDataRank 25.4Top 2%
- Bioconductor: open software development for computational biology and bioinformaticsGenome Biology200412,497 citationsDataRank 1.4
- Integrated genotype calling and association analysis of SNPs, common copy number polymorphisms and rare CNVsNature Genetics2008809 citationsDataRank 1.0
- Assessing the Reproducibility of Asthma Candidate Gene Associations, Using Genome-wide DataAmerican Journal of Respiratory and Critical Care Medicine2009106 citationsDataRank 5.2
Why this DataRank?
DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 32% comes from its base citations and 68% from the citation network (32 citing papers contributed measurable signal).
- Base score B(p)
- log1p(citation_count) — grows sub-linearly, so a paper with 1,000 citations is not 10× a paper with 100.
- Network N(p)
- Σ over citers of log1p(Cq) ÷ max(outdegreeq, 1). Being cited by a highly-cited paper with few references counts most.
- Damping factor d = 0.85
- DataRank = (1−d)·B(p) + d·N(p) — the two cards above are each already multiplied by their share.
- Self-citations excluded
- Citers sharing any OpenAlex author ID with this paper are filtered out before the network sum.
Citers are pulled from OpenAlex sorted by cited_by_count:descand capped per paper, so when the cap binds we keep the highest-signal references and the score is reproducible across reruns.
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