Evidence map›Paper›PMID 34634086›Full record

ArticlePloS one2021

Measuring epistemic success of a biodiversity citizen science program: A citation study.

Baptiste Bedessem, Romain Julliard, Eleonora Montuschi

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.4field-weighted citation impact, top 16% 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

2 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Article
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

3 authors at 2 institutions in 2 countries.

Baptiste BedessemDipartimento di Filosofia e beni culturali, Università Ca'Foscari, Venezia, Italy.ORCID 0000-0002-9603-6686
Romain JulliardCESCO, Muséum National d'Histoire Naturelle, Paris, France.
Eleonora MontuschiDipartimento di Filosofia e beni culturali, Università Ca'Foscari, Venezia, Italy.
Ca' Foscari University of Venice · ITCentre d'Écologie et des Sciences de la Conservation · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper offers a comparative evaluation of the scientific impact of a citizen science program in ecology, ''Vigie-Nature", managed by the French National Museum of Natural History. Vigie-Nature consists of a national network of amateur observatories dedicated to a participative study of biodiversity in France that has been running for the last twenty years. We collected 123 articles published by Vigie-Nature in international peer-reviewed journals between 2007 and 2019, and computed the yearly amount of citations of these articles between 0-12 years post-publication. We then compared this body of citations with the number of yearly citations relative to the ensemble of the articles published in ecology and indexed in the ''Web of Science" data-base. Using a longitudinal data analysis, we could observe that the yearly number of citations of the Vigie-Nature articles is significantly higher than that of the other publications in the same domain. Furthermore, this excess of citations tends to steadily grow over time: Vigie-Nature publications are about 1.5 times more cited 3 years after publication, and 3 times more cited 11 years post-publication. These results suggest that large-scale biodiversity citizen science projects are susceptible to reach a high epistemic impact, when managed in specific ways which need to be clarified through further investigations.

Indexed as

BibliometricsBiodiversityCitizen ScienceKnowledgeHumansPublicationsSample SizeStatistics as TopicTime Factors

Identifiers

PMID34634086
PMCPMC8504750
OpenAlexW3207698309

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.