Evidence map›Paper›PMID 33211851›Full record

ArticleNucleic acids research2021

WikiPathways: connecting communities.

Marvin Martens, Ammar Ammar, Anders Riutta, Andra Waagmeester, Denise N Slenter, Kristina Hanspers, Ryan A Miller, Daniela Digles, Elisson N Lopes, Friederike Ehrhart and 7 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 511 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
511citing papers in PubMed, 3 pooled it
–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

511 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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451 more citing papers are in PubMed but not listed here.

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

17 authors.

Marvin MartensDepartment of Bioinformatics - BiGCaT, NUTRIM, Maastricht University, 6229 ER Maastricht, the Netherlands.
Ammar AmmarDepartment of Bioinformatics - BiGCaT, NUTRIM, Maastricht University, 6229 ER Maastricht, the Netherlands.
Anders RiuttaInstitute of Data Science and Biotechnology, Gladstone Institutes, San Francisco, CA 94158, USA.
Andra WaagmeesterMicelio, 2180, Antwerp, Belgium.
Denise N SlenterDepartment of Bioinformatics - BiGCaT, NUTRIM, Maastricht University, 6229 ER Maastricht, the Netherlands.
Kristina HanspersInstitute of Data Science and Biotechnology, Gladstone Institutes, San Francisco, CA 94158, USA.
Ryan A MillerDepartment of Bioinformatics - BiGCaT, NUTRIM, Maastricht University, 6229 ER Maastricht, the Netherlands.
Daniela DiglesDepartment of Pharmaceutical Chemistry/Pharmacoinformatics Research Group, University of Vienna, 1090 Vienna, Austria.
Elisson N LopesInstituto de Ciencias Biologicas, Departamento de Bioquimica e Imunologia, Universidade Federal de Minas Gerais, Belo Horizonte, 31270-901, Brazil.
Friederike EhrhartDepartment of Bioinformatics - BiGCaT, NUTRIM, Maastricht University, 6229 ER Maastricht, the Netherlands.
Lauren J DupuisDepartment of Bioinformatics - BiGCaT, NUTRIM, Maastricht University, 6229 ER Maastricht, the Netherlands.
Laurent A WinckersDepartment of Bioinformatics - BiGCaT, NUTRIM, Maastricht University, 6229 ER Maastricht, the Netherlands.
Susan L CoortDepartment of Bioinformatics - BiGCaT, NUTRIM, Maastricht University, 6229 ER Maastricht, the Netherlands.
Egon L WillighagenDepartment of Bioinformatics - BiGCaT, NUTRIM, Maastricht University, 6229 ER Maastricht, the Netherlands.
Chris T EveloDepartment of Bioinformatics - BiGCaT, NUTRIM, Maastricht University, 6229 ER Maastricht, the Netherlands.
Alexander R PicoInstitute of Data Science and Biotechnology, Gladstone Institutes, San Francisco, CA 94158, USA.
Martina KutmonDepartment of Bioinformatics - BiGCaT, NUTRIM, Maastricht University, 6229 ER Maastricht, the Netherlands.

Funding

The Gene Wiki: Community intelligence applied to gene annotationR01GM089820 · NIGMS · SCRIPPS RESEARCH INSTITUTE, THE · PI SU, ANDREW I · 2010 to 2021
$5.2M
WikiPathways Project: At the Intersection of Big Data and Researcher KnowledgeR01GM100039 · NIGMS · J. DAVID GLADSTONE INSTITUTES · PI PICO, ALEXANDER R · 2012 to 2020
$3.4M
NIGMS NIH HHS R01 GM089820NIGMS NIH HHS R01 GM100039
6 · The paper itself

Abstract

WikiPathways (https://www.wikipathways.org) is a biological pathway database known for its collaborative nature and open science approaches. With the core idea of the scientific community developing and curating biological knowledge in pathway models, WikiPathways lowers all barriers for accessing and using its content. Increasingly more content creators, initiatives, projects and tools have started using WikiPathways. Central in this growth and increased use of WikiPathways are the various communities that focus on particular subsets of molecular pathways such as for rare diseases and lipid metabolism. Knowledge from published pathway figures helps prioritize pathway development, using optical character and named entity recognition. We show the growth of WikiPathways over the last three years, highlight the new communities and collaborations of pathway authors and curators, and describe various technologies to connect to external resources and initiatives. The road toward a sustainable, community-driven pathway database goes through integration with other resources such as Wikidata and allowing more use, curation and redistribution of WikiPathways content.

Indexed as

Databases, FactualCOVID-19Data CurationHumansPublicationsUser-Computer Interface

Identifiers

PMID33211851
PMCPMC7779061

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.