Evidence map›Paper›PMID 37524770›Full record

ArticleScientific reports2023

Demographic and motivational differences between participants in analog and digital citizen science projects for monitoring mosquitoes.

Berj Dekramanjian, Frederic Bartumeus, Helge Kampen, John R B Palmer, Doreen Werner, Nadja Pernat

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Emerging technologies in citizen science and potential for insect monitoring.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Article
  6. 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

6 authors.

Berj DekramanjianDepartment of Political and Social Sciences, Universitat Pompeu Fabra, Barcelona, Spain. berj.dekramanjian@upf.edu.
Frederic BartumeusCentre d'Estudis Avançats de Blanes (CEAB-CSIC), Blanes, Spain.
Helge KampenFriedrich-Loeffler-Institut, Greifswald, Insel Riems, Germany.
John R B PalmerDepartment of Political and Social Sciences, Universitat Pompeu Fabra, Barcelona, Spain.
Doreen WernerLeibniz-Centre for Agricultural Landscape Research (ZALF), Müncheberg, Germany.
Nadja PernatLeibniz-Centre for Agricultural Landscape Research (ZALF), Müncheberg, Germany. nadjapernat@uni-muenster.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Worldwide, citizen scientists help to map the distribution of native and introduced mosquito species in a variety of programs, contributing to environmental research and management decisions. Participant background, behavior, and engagement may vary depending on the project design, especially between those using digital apps and those using physical samples, which in turn may impact the quality and representativeness of the data collected. During the analysis of the responses to a survey directed at citizen scientists participating in  a digital and an analog program, we found significant differences in the respondents' demographic backgrounds. Diverse participant motivations and varying sentiments towards mosquitoes were observed, indicating differing susceptibility in response to the program messages. The results can be translated into recommendations to further strengthen the appeal of citizen science projects and to promote and sustain public engagement in environmental research.

Indexed as

Citizen ScienceCulicidaeAnimalsDemographyHumansMotivationSurveys and Questionnaires

Identifiers

PMID37524770
PMCPMC10390545

What OpenQuestion holds

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Registered trials

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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.