Evidence map›Paper›PMID 31462444›Full record

ArticleG3 (Bethesda, Md.)2019

Joshua A Udall, Evan Long, Chris Hanson, Daojun Yuan, Thiruvarangan Ramaraj, Justin L Conover, Lei Gong, Mark A Arick, Corrinne E Grover, Daniel G Peterson and 1 more

Abstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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 registry

The 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 literature

Who cites it

55 citing papers in PubMed.

  1. Plants (Basel, Switzerland) · 2026
    Article
  2. Distinct evolutionary trajectories of gene duplication modes in 40 diploid cotton genomes.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Joshua A UdallUSDA/Agricultural Research Service, Crop Germplasm Research Unit, College Station, TX 77845, Joshua.Udall@usda.gov.ORCID 0000-0003-0978-4764
Evan LongPlant and Wildlife Science Dept. Brigham Young University, Provo, UT 84042.
Chris HansonPlant and Wildlife Science Dept. Brigham Young University, Provo, UT 84042.
Daojun YuanEcology, Evolution, and Organismal Biology Dept., Iowa State University, Ames, IA 50010.ORCID 0000-0001-6007-5571
Thiruvarangan RamarajSchool of Computing, DePaul University, Chicago, IL 60604.ORCID 0000-0002-7333-1041
Justin L ConoverEcology, Evolution, and Organismal Biology Dept., Iowa State University, Ames, IA 50010.ORCID 0000-0002-3558-6000
Lei GongKey Laboratory of Molecular Epigenetics of the Ministry of Education, Northeast Normal University, Changchun, China, and.ORCID 0000-0001-6429-267X
Mark A ArickInstitute for Genomics, Biocomputing & Biotechnology, Mississippi State University, Mississippi State, Mississippi 39762.
Corrinne E GroverEcology, Evolution, and Organismal Biology Dept., Iowa State University, Ames, IA 50010.ORCID 0000-0003-3878-5459
Daniel G PetersonInstitute for Genomics, Biocomputing & Biotechnology, Mississippi State University, Mississippi State, Mississippi 39762.ORCID 0000-0002-0274-5968
Jonathan F WendelEcology, Evolution, and Organismal Biology Dept., Iowa State University, Ames, IA 50010.ORCID 0000-0003-2258-5081

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cotton is an agriculturally important crop. Because of its importance, a genome sequence of a diploid cotton species (

Indexed as

Computational BiologyGenome, PlantGenomicsGossypiumMolecular Sequence AnnotationRepetitive Sequences, Nucleic Acidcottongenome sequenceGossypium raimondiiGossypium turneriPacBio

Identifiers

PMID31462444
PMCPMC6778788

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.