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The acceptability of using a lottery to allocate research funding: a survey of applicants

Overview of attention for article published in Research Integrity and Peer Review, February 2020
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#5 of 116)
  • High Attention Score compared to outputs of the same age (98th percentile)

Mentioned by

news
4 news outlets
blogs
1 blog
policy
1 policy source
twitter
246 tweeters
wikipedia
1 Wikipedia page

Citations

dimensions_citation
25 Dimensions

Readers on

mendeley
36 Mendeley
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Title
The acceptability of using a lottery to allocate research funding: a survey of applicants
Published in
Research Integrity and Peer Review, February 2020
DOI 10.1186/s41073-019-0089-z
Pubmed ID
Authors

Mengyao Liu, Vernon Choy, Philip Clarke, Adrian Barnett, Tony Blakely, Lucy Pomeroy

Twitter Demographics

The data shown below were collected from the profiles of 246 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 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 22%
Other 4 11%
Lecturer 3 8%
Student > Bachelor 3 8%
Student > Ph. D. Student 2 6%
Other 5 14%
Unknown 11 31%
Readers by discipline Count As %
Social Sciences 6 17%
Medicine and Dentistry 3 8%
Nursing and Health Professions 2 6%
Agricultural and Biological Sciences 2 6%
Biochemistry, Genetics and Molecular Biology 2 6%
Other 11 31%
Unknown 10 28%

Attention Score in Context

This research output has an Altmetric Attention Score of 198. 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 16 September 2022.
All research outputs
#154,978
of 22,103,655 outputs
Outputs from Research Integrity and Peer Review
#5
of 116 outputs
Outputs of similar age
#4,063
of 372,839 outputs
Outputs of similar age from Research Integrity and Peer Review
#1
of 1 outputs
Altmetric has tracked 22,103,655 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 116 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 68.2. This one has done particularly well, scoring higher than 96% 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 372,839 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 98% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them