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Selective citation in the literature on swimming in chlorinated water and childhood asthma: a network analysis

Overview of attention for article published in Research Integrity and Peer Review, October 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

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1 news outlet
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9 X users

Citations

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5 Dimensions

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25 Mendeley
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Title
Selective citation in the literature on swimming in chlorinated water and childhood asthma: a network analysis
Published in
Research Integrity and Peer Review, October 2017
DOI 10.1186/s41073-017-0041-z
Pubmed ID
Authors

Bram Duyx, Miriam J. E. Urlings, Gerard M. H. Swaen, Lex M. Bouter, Maurice P. Zeegers

Abstract

Knowledge development depends on an unbiased representation of the available evidence. Selective citation may distort this representation. Recently, some controversy emerged regarding the possible impact of swimming on childhood asthma, raising the question about the role of selective citation in this field. Our objective was to assess the occurrence and determinants of selective citation in scientific publications on the relationship between swimming in chlorinated pools and childhood asthma. We identified scientific journal articles on this relationship via a systematic literature search. The following factors were taken into account: study outcome (authors' conclusion, data-based conclusion), other content-related article characteristics (article type, sample size, research quality, specificity), content-unrelated article characteristics (language, publication title, funding source, number of authors, number of affiliations, number of references, journal impact factor), author characteristics (gender, country, affiliation), and citation characteristics (time to citation, authority, self-citation). To assess the impact of these factors on citation, we performed a series of univariate and adjusted random-effects logistic regressions, with potential citation path as unit of analysis. Thirty-six articles were identified in this network, consisting of 570 potential citation paths of which 191 (34%) were realized. There was strong evidence that articles with at least one author in common, cited each other more often than articles that had no common authors (odds ratio (OR) 5.2, 95% confidence interval (CI) 3.1-8.8). Similarly, the chance of being cited was higher for articles that were empirical rather than narrative (OR 4.2, CI 2.6-6.7), that reported a large sample size (OR 5.8, CI 2.9-11.6), and that were written by authors with a high authority within the network (OR 4.1, CI 2.1-8.0). Further, there was some evidence for citation bias: articles that confirmed the relation between swimming and asthma were cited more often (OR 1.8, CI 1.1-2.9), but this finding was not robust. There is clear evidence of selective citation in this research field, but the evidence for citation bias is not very strong.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 16%
Researcher 3 12%
Student > Ph. D. Student 3 12%
Professor > Associate Professor 2 8%
Student > Master 2 8%
Other 5 20%
Unknown 6 24%
Readers by discipline Count As %
Medicine and Dentistry 5 20%
Social Sciences 4 16%
Sports and Recreations 2 8%
Nursing and Health Professions 1 4%
Agricultural and Biological Sciences 1 4%
Other 5 20%
Unknown 7 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 22 February 2019.
All research outputs
#2,122,773
of 25,500,206 outputs
Outputs from Research Integrity and Peer Review
#90
of 133 outputs
Outputs of similar age
#40,466
of 332,272 outputs
Outputs of similar age from Research Integrity and Peer Review
#3
of 5 outputs
Altmetric has tracked 25,500,206 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 133 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 76.5. This one is in the 33rd percentile – i.e., 33% of its peers scored the same or lower than it.
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 332,272 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.