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Disentangling Public Participation In Science and Biomedicine

Overview of attention for article published in Genome Medicine, January 2014
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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 (91st percentile)
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

Mentioned by

blogs
2 blogs
twitter
4 tweeters

Citations

dimensions_citation
36 Dimensions

Readers on

mendeley
71 Mendeley
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Title
Disentangling Public Participation In Science and Biomedicine
Published in
Genome Medicine, January 2014
DOI 10.1186/gm525
Pubmed ID
Authors

Christopher Kelty, Aaron Panofsky

Abstract

This article provides a framework for disentangling the concept of participation, with emphasis on participation in genomic medicine. We have derived seven 'dimensions' of participation that are most frequently invoked in the extensive, heterogeneous literature on participation. To exemplify these dimensions, we use material from a database of 102 contemporary cases of participation, and focus here on cases specific to science and medicine. We describe the stakes of public participation in biomedical research, with a focus on genomic medicine and lay out the seven dimensions.

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Finland 1 1%
Unknown 69 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 28%
Researcher 17 24%
Student > Doctoral Student 8 11%
Other 4 6%
Student > Master 4 6%
Other 12 17%
Unknown 6 8%
Readers by discipline Count As %
Social Sciences 25 35%
Nursing and Health Professions 7 10%
Computer Science 5 7%
Philosophy 4 6%
Medicine and Dentistry 4 6%
Other 18 25%
Unknown 8 11%

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 13 May 2019.
All research outputs
#1,549,680
of 17,897,867 outputs
Outputs from Genome Medicine
#354
of 1,203 outputs
Outputs of similar age
#22,816
of 266,510 outputs
Outputs of similar age from Genome Medicine
#10
of 28 outputs
Altmetric has tracked 17,897,867 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 1,203 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.1. This one has gotten more attention than average, scoring higher than 70% 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 266,510 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 91% of its contemporaries.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.