In one paragraphArticle in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from itWhat it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
2 · The registryThe trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
3 · Its place in the literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
5 · Who and what moneyAuthors and funding
8 authors.
Matthew V RockmanDepartment of Biology and Center for Genomics & Systems Biology, New York University, New York, New York.ORCID 0000-0001-6492-8906 Max R BernsteinDepartment of Biology and Center for Genomics & Systems Biology, New York University, New York, New York.ORCID 0000-0001-6468-3953 Derin ÇağlarDepartment of Biology and Center for Genomics & Systems Biology, New York University, New York, New York.
M Victoria CattaniDepartment of Biology and Center for Genomics & Systems Biology, New York University, New York, New York.
Audrey S ChangDepartment of Biology and Center for Genomics & Systems Biology, New York University, New York, New York.
Taniya KaurDepartment of Biology and Center for Genomics & Systems Biology, New York University, New York, New York.ORCID 0000-0001-8061-0391 Luke M NobleDepartment of Biology and Center for Genomics & Systems Biology, New York University, New York, New York.ORCID 0000-0002-5161-4059 Annalise B PaabyDepartment of Biology and Center for Genomics & Systems Biology, New York University, New York, New York.ORCID 0000-0003-1422-047X Funding
Enhancing and expanding the CGC Strain CollectionP40OD010440 · OD · UNIVERSITY OF MINNESOTA · PI Aric L Daul, Ann E. Rougvie · 2012 to 2026
$7.5MEvolutionary Genetics of Animal DevelopmentR35GM141906 · NIGMS · NEW YORK UNIVERSITY · PI Matthew Rockman · 2021 to 2026
$2.6MGenetic Architecture and Developmental Consequences of Conditionally Functional MutationsR35GM119744 · NIGMS · GEORGIA INSTITUTE OF TECHNOLOGY · PI PAABY, ANNALISE BLOSS · 2016 to 2020
$1.8MDiscovery and Characterization of Quantitative Trait NucleotidesR01GM089972 · NIGMS · NEW YORK UNIVERSITY · PI ROCKMAN, MATTHEW · 2009 to 2013
$1.5MGenetic analysis of segregating recessive variationR01GM121828 · NIGMS · NEW YORK UNIVERSITY · PI ROCKMAN, MATTHEW · 2017 to 2020
$1.5MEDGE CMT: deleterious recessive variation - from experimental data to predictive modelsR01HG013015 · NHGRI · NEW YORK UNIVERSITY · PI ROCKMAN, MATTHEW · 2023 to 2025
$1.1MDiscovering buffered developmental networks underlying C. elegans embryogenesisF32GM090557 · NIGMS · NEW YORK UNIVERSITY · PI PAABY, ANNALISE BLOSS · 2010 to 2012
$115kSexual conflict and reproductive gene evolution in CaenorhabditisF32HD065442 · NICHD · NEW YORK UNIVERSITY · PI CHANG, AUDREY · 2011 to 2012
$71kNHGRI NIH HHS R01 HG013015NICHD NIH HHS F32 HD065442NIGMS NIH HHS F32 GM090557NIGMS NIH HHS R01 GM089972NIGMS NIH HHS R01 GM121828NIGMS NIH HHS R35 GM119744NIGMS NIH HHS R35 GM141906NIH HHS P40 OD010440
6 · The paper itselfAbstract
Outbreeding populations harbor large numbers of recessive deleterious alleles that reduce the fitness of inbred individuals, and this inbreeding depression potentially shapes the evolution of mating systems, acting as a counterweight to the inherent selective advantage of self-fertilization. The population biological factors that influence inbreeding depression are numerous and often difficult to disentangle. We investigated the utility of obligately-outcrossing (gonochoristic)
Indexed as
Caenorhabditisinbreeding depressionmating-system transitionsrecessive genetic variationSelfing
Identifiers
PMID40501691
PMCPMC12157486
What OpenQuestion holds
Textmetadata
LicenceCC BY
Read underepoch 390