Evidence map›Paper›PMID 33614073›Full record

ArticleRoyal Society open science2021

Crowdsourcing snake identification with online communities of professional herpetologists and avocational snake enthusiasts.

A M Durso, I Bolon, A R Kleinhesselink, M R Mondardini, J L Fernandez-Marquez, F Gutsche-Jones, C Gwilliams, M Tanner, C E Smith, W Wüster and 2 more

Abstract read
In one paragraph

Article in Royal Society open science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

12 authors.

A M DursoInstitute of Global Health, Department of Community Health and Medicine, Faculty of Medicine, University of Geneva, Geneva, Switzerland.ORCID 0000-0002-3008-7763
I BolonInstitute of Global Health, Department of Community Health and Medicine, Faculty of Medicine, University of Geneva, Geneva, Switzerland.
A R KleinhesselinkDepartment of Ecology and Evolutionary Biology, University of California Los Angeles, Los Angeles, CA, USA.
M R MondardiniCitizen Science Center Zürich, ETHZ and University of Zürich, Zurich, Switzerland.
J L Fernandez-MarquezCitizen Cyberlab, University of Geneva, Geneva, Switzerland.
F Gutsche-JonesCitizen Science Center Zürich, ETHZ and University of Zürich, Zurich, Switzerland.
C GwilliamsCitizen Science Center Zürich, ETHZ and University of Zürich, Zurich, Switzerland.
M TannerCitizen Science Center Zürich, ETHZ and University of Zürich, Zurich, Switzerland.
C E SmithHerpMapper, MN, USA.
W WüsterBangor University College of Natural Sciences, Bangor, UK.
F GreyCitizen Cyberlab, University of Geneva, Geneva, Switzerland.
R Ruiz de CastañedaInstitute of Global Health, Department of Community Health and Medicine, Faculty of Medicine, University of Geneva, Geneva, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Species identification can be challenging for biologists, healthcare practitioners and members of the general public. Snakes are no exception, and the potential medical consequences of venomous snake misidentification can be significant. Here, we collected data on identification of 100 snake species by building a week-long online citizen science challenge which attracted more than 1000 participants from around the world. We show that a large community including both professional herpetologists and skilled avocational snake enthusiasts with the potential to quickly (less than 2 min) and accurately (69-90%; see text) identify snakes is active online around the clock, but that only a small fraction of community members are proficient at identifying snakes to the species level, even when provided with the snake's geographical origin. Nevertheless, participants showed great enthusiasm and engagement, and our study provides evidence that innovative citizen science/crowdsourcing approaches can play significant roles in training and building capacity. Although identification by an expert familiar with the local snake fauna will always be the gold standard, we suggest that healthcare workers, clinicians, epidemiologists and other parties interested in snakebite could become more connected to these communities, and that professional herpetologists and skilled avocational snake enthusiasts could organize ways to help connect medical professionals to crowdsourcing platforms. Involving skilled avocational snake enthusiasts in decision making could build the capacity of healthcare workers to identify snakes more quickly, specifically and accurately, and ultimately improve snakebite treatment data and outcomes.

Indexed as

biodiversitycitizen scienceitem response theorymisidentificationonline challengevenomous snakebite

Identifiers

PMID33614073
PMCPMC7890515

What OpenQuestion holds

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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.