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Questionable, Objectionable or Criminal? Public Opinion on Data Fraud and Selective Reporting in Science

Overview of attention for article published in Science and Engineering Ethics, March 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#43 of 974)
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
67 X users

Citations

dimensions_citation
36 Dimensions

Readers on

mendeley
95 Mendeley
citeulike
1 CiteULike
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Title
Questionable, Objectionable or Criminal? Public Opinion on Data Fraud and Selective Reporting in Science
Published in
Science and Engineering Ethics, March 2017
DOI 10.1007/s11948-017-9886-2
Pubmed ID
Authors

Justin T. Pickett, Sean Patrick Roche

Abstract

Data fraud and selective reporting both present serious threats to the credibility of science. However, there remains considerable disagreement among scientists about how best to sanction data fraud, and about the ethicality of selective reporting. The public is arguably the largest stakeholder in the reproducibility of science; research is primarily paid for with public funds, and flawed science threatens the public's welfare. Members of the public are able to make meaningful judgments about the morality of different behaviors using moral intuitions. Legal scholars emphasize that to maintain legitimacy, social control policies must be developed with some consideration given to the public's moral intuitions. Although there is a large literature on popular attitudes toward science, there is no existing evidence about public opinion on data fraud or selective reporting. We conducted two studies-a survey experiment with a nationwide convenience sample (N = 821), and a follow-up survey with a representative sample of US adults (N = 964)-to explore community members' judgments about the morality of data fraud and selective reporting in science. The findings show that community members make a moral distinction between data fraud and selective reporting, but overwhelmingly judge both behaviors to be immoral and deserving of punishment. Community members believe that scientists who commit data fraud or selective reporting should be fired and banned from receiving funding. For data fraud, most Americans support criminal penalties. Results from an ordered logistic regression analysis reveal few demographic and no significant partisan differences in punitiveness toward data fraud.

X Demographics

X Demographics

The data shown below were collected from the profiles of 67 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 1%
Brazil 1 1%
Unknown 93 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 16%
Researcher 13 14%
Student > Bachelor 12 13%
Lecturer 8 8%
Student > Master 8 8%
Other 16 17%
Unknown 23 24%
Readers by discipline Count As %
Psychology 17 18%
Business, Management and Accounting 8 8%
Computer Science 6 6%
Social Sciences 5 5%
Economics, Econometrics and Finance 5 5%
Other 25 26%
Unknown 29 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 53. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 July 2023.
All research outputs
#809,913
of 25,732,188 outputs
Outputs from Science and Engineering Ethics
#43
of 974 outputs
Outputs of similar age
#16,521
of 321,983 outputs
Outputs of similar age from Science and Engineering Ethics
#2
of 31 outputs
Altmetric has tracked 25,732,188 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 974 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.7. This one has done particularly well, scoring higher than 95% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 321,983 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.