Evidence map›Paper›PMID 32069277›Full record

ArticlePLoS computational biology2020

Collective intelligence defines biological functions in Wikipedia as communities in the hidden protein connection network.

Andrei Zinovyev, Urszula Czerwinska, Laura Cantini, Emmanuel Barillot, Klaus M Frahm, Dima L Shepelyansky

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2020. 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
0.9field-weighted citation impact, top 19% of its field
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, 3 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 2 institutions in 1 country.

Andrei ZinovyevInstitut Curie, PSL Research University, F-75005 Paris, France.ORCID 0000-0002-9517-7284
Urszula CzerwinskaInstitut Curie, PSL Research University, F-75005 Paris, France.ORCID 0000-0002-5244-0708
Laura CantiniInstitut Curie, PSL Research University, F-75005 Paris, France.ORCID 0000-0001-6360-4440
Emmanuel BarillotInstitut Curie, PSL Research University, F-75005 Paris, France.ORCID 0000-0003-2724-2002
Klaus M FrahmLaboratoire de Physique Théorique, IRSAMC, Université de Toulouse, CNRS, UPS, F-31062 Toulouse, France.ORCID 0000-0002-4077-3337
Dima L ShepelyanskyLaboratoire de Physique Théorique, IRSAMC, Université de Toulouse, CNRS, UPS, F-31062 Toulouse, France.ORCID 0000-0002-2752-0765
Centre National de la Recherche Scientifique · FRInserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

English Wikipedia, containing more than five millions articles, has approximately eleven thousands web pages devoted to proteins or genes most of which were generated by the Gene Wiki project. These pages contain information about interactions between proteins and their functional relationships. At the same time, they are interconnected with other Wikipedia pages describing biological functions, diseases, drugs and other topics curated by independent, not coordinated collective efforts. Therefore, Wikipedia contains a directed network of protein functional relations or physical interactions embedded into the global network of the encyclopedia terms, which defines hidden (indirect) functional proximity between proteins. We applied the recently developed reduced Google Matrix (REGOMAX) algorithm in order to extract the network of hidden functional connections between proteins in Wikipedia. In this network we discovered tight communities which reflect areas of interest in molecular biology or medicine and can be considered as definitions of biological functions shaped by collective intelligence. Moreover, by comparing two snapshots of Wikipedia graph (from years 2013 and 2017), we studied the evolution of the network of direct and hidden protein connections. We concluded that the hidden connections are more dynamic compared to the direct ones and that the size of the hidden interaction communities grows with time. We recapitulate the results of Wikipedia protein community analysis and annotation in the form of an interactive online map, which can serve as a portal to the Gene Wiki project.

Indexed as

Biological PhenomenaProtein Interaction MappingSearch EngineAlgorithmsCluster AnalysisComputational BiologyDatabases, GeneticInternetMarkov ChainsProbabilityProteinsProteins

Identifiers

PMID32069277
PMCPMC7048313
OpenAlexW3007138745

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.