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
What 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
11 authors.
Sun LeeNorth Carolina Research Center (NCRC), Department of Bioinformatics and Genomics, The University of North Carolina at Charlotte, Kannapolis, NC 28081, U.S.A.
Caroline WestNorth Carolina Research Center (NCRC), Department of Bioinformatics and Genomics, The University of North Carolina at Charlotte, Kannapolis, NC 28081, U.S.A.
Marie-Claire HarrisonDepartment of Biological Sciences, Vanderbilt University, Nashville, TN 37235, U.S.A.ORCID 0000-0002-3013-9906 John F WoltersLaboratory of Genetics, Wisconsin Energy Institute, Center for Genomic Science Innovation, J. F. Crow Institute for the Study of Evolution, University of Wisconsin-Madison, Madison, WI 53726, U.S.A.ORCID 0000-0002-5477-4250 Xing-Xing ShenCentre for Evolutionary and Organismal Biology, Institute of Insect Sciences, Zhejiang University, Hangzhou, China.ORCID 0000-0001-5765-1419 Xiaofan ZhouGuangdong Province Key Laboratory of Microbial Signals and Disease Control, Integrative Microbiology Research Center, South China Agricultural University, Guangzhou, China.ORCID 0000-0002-2879-6317 Chris Todd HittingerLaboratory of Genetics, Wisconsin Energy Institute, Center for Genomic Science Innovation, J. F. Crow Institute for the Study of Evolution, University of Wisconsin-Madison, Madison, WI 53726, U.S.A.ORCID 0000-0001-5088-7461 Abigail Leavitt LaBellaNorth Carolina Research Center (NCRC), Department of Bioinformatics and Genomics, The University of North Carolina at Charlotte, Kannapolis, NC 28081, U.S.A.ORCID 0000-0003-0068-6703 Funding
Deciphering the phenotypic and genomic traits that underlie the evolution of pathogenicity differences among Aspergillus fumigatus and its close relativesR01AI153356 · NIAID · VANDERBILT UNIVERSITY · PI Antonis Rokas · 2022 to 2026
$3.5MRole of codon usage bias in eukaryotic evolution and regulationR35GM155455 · NIGMS · UNIVERSITY OF NORTH CAROLINA CHARLOTTE · PI Abigail LaBella · 2024 to 2026
$1.1MNIAID NIH HHS R01 AI153356NIGMS NIH HHS R35 GM155455
6 · The paper itselfAbstract
The Saccharomycotina fungi have evolved to inhabit a vast diversity of habitats over their 400-million-year evolution. There are, however, only a few known fungal pathogens of plants in this subphylum, primarily belonging to the genera
Indexed as
fungiphytopathogenreverse ecologySaccharomycotina
Identifiers
PMID40060456
PMCPMC11888420
What OpenQuestion holds
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