Evidence map›Paper›PMID 38293091›Full record

ArticlebioRxiv : the preprint server for biology2024

Do organisms need an impact factor? Citations of key biological resources including model organisms reveal usage patterns and impact.

Agata Piekniewska, Nathan Anderson, Martijn Roelandse, K C Kent Lloyd, Ian Korf, S Randal Voss, Giovanni de Castro, Diogo M Magnani, Zoltan Varga, Christina James-Zorn and 3 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. 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 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Agata PiekniewskaSciCrunch Inc.ORCID 0000-0001-8061-1335
Nathan AndersonSciCrunch Inc.
Martijn Roelandsemartijnroelandse.dev.ORCID 0000-0001-5596-8084
K C Kent LloydMouse Biology Program, Comprehensive Cancer Center, and Department of Surgery, School of Medicine, University of California, Davis.ORCID 0000-0002-5318-4144
Ian KorfUniversity of California Davis, Department of Molecular and Cellular Biology; UC Davis Genome Center.ORCID 0000-0001-5259-6182
S Randal VossAmbystoma Genetic Stock Center, Spinal Cord and Brain Injury Research Center, University of Kentucky.ORCID 0000-0002-8332-3176
Giovanni de CastroUMass Chan Medical School, Department of Medicine.ORCID 0000-0002-2981-3860
Diogo M MagnaniUMass Chan Medical School, Department of Medicine.ORCID 0000-0002-1773-2406
Zoltan VargaZebrafish International Resource Center, Institute of Neuroscience, University of Oregon.ORCID 0000-0002-1357-2708
Christina James-ZornCincinnati Children's Research Foundation, Division of Developmental Biology, www.Xenbase.org.ORCID 0000-0001-5495-4588
Marko HorbNational Xenopus Resource, Eugene Bell Center for Regenerative Biology and Tissue Engineering, Marine Biological Laboratory.ORCID 0000-0002-5067-0518
Jeffery S GretheUniversity of California at San Diego, School of Medicine, Department of Neuroscience.ORCID 0000-0001-5212-7052
Anita BandrowskiUniversity of California at San Diego, Department of Neuroscience; SciCrunch Inc.ORCID 0000-0002-5497-0243

Funding

KOMP2-Phase3 Production and Phenotyping by the DTCC Consortium TCP Transfer to UC DavisUM1OD023221 · OD · UNIVERSITY OF CALIFORNIA AT DAVIS · PI KC KENT LLOYD · 2016 to 2026
$45.7M
Xenbase: the Xenopus Model Organism KnowledgebaseP41HD064556 · NICHD · CINCINNATI CHILDRENS HOSP MED CTR · PI Aaron M Zorn · 2010 to 2026
$24.9M
NIDDK Network Coordinating UnitU24DK097771 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Shuibing Chen, Jeffrey S. Grethe · 2013 to 2026
$20.9M
Nonhuman Primate Reagent ResourceU24AI126683 · NIAID · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI Diogo Magnani · 2016 to 2026
$20.1M
Resource CoreP40OD010997 · OD · MARINE BIOLOGICAL LABORATORY · PI Marko E Horb · 2012 to 2026
$13.1M
Resource CoreP40OD028116 · OD · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI Diogo Magnani · 2020 to 2026
$5.9M
From RRID to Resource Watch: A Knowledgebase of Biomedical Research ResourcesR24GM144308 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Anita ELZBIETA Bandrowski, Jeffrey S. Grethe · 2022 to 2026
$2.9M
NIAID NIH HHS U24 AI126683NICHD NIH HHS P41 HD064556NIDDK NIH HHS U24 DK097771NIGMS NIH HHS R24 GM144308NIH HHS P40 OD010997NIH HHS P40 OD028116NIH HHS UM1 OD023221
6 · The paper itself

Abstract

Research resources like transgenic animals and antibodies are the workhorses of biomedicine, enabling investigators to relatively easily study specific disease conditions. As key biological resources, transgenic animals and antibodies are often validated, maintained, and distributed from university based stock centers. As these centers heavily rely largely on grant funding, it is critical that they are cited by investigators so that usage can be tracked. However, unlike systems for tracking the impact of papers, the conventions and systems for tracking key resource usage and impact lag behind. Previous studies have shown that about 50% of the resources are not findable, making the studies they are supporting irreproducible, but also makes tracking resources difficult. The RRID project is filling this gap by working with journals and resource providers to improve citation practices and to track the usage of these key resources. Here, we reviewed 10 years of citation practices for five university based stock centers, characterizing each reference into two broad categories: findable (authors could use the RRID, stock number, or full name) and not findable (authors could use a nickname or a common name that is not unique to the resource). The data revealed that when stock centers asked their communities to cite resources by RRID, in addition to helping stock centers more easily track resource usage by increasing the number of RRID papers, authors shifted from citing resources predominantly by nickname (~50% of the time) to citing them by one of the findable categories (~85%) in a matter of several years. In the case of one stock center, the MMRRC, the improvement in findability is also associated with improvements in the adherence to NIH rigor criteria, as determined by a significant increase in the Rigor and Transparency Index for studies using MMRRC mice. From this data, it was not possible to determine whether outreach to authors or changes to stock center websites drove better citation practices, but findability of research resources and rigor adherence was improved.

Identifiers

PMID38293091
PMCPMC10827057

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.