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A framework for indirect elicitation of the public health impact of gambling problems

Overview of attention for article published in BMC Public Health, November 2020
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  • Average Attention Score compared to outputs of the same age

Mentioned by

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3 X users

Citations

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11 Dimensions

Readers on

mendeley
36 Mendeley
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Title
A framework for indirect elicitation of the public health impact of gambling problems
Published in
BMC Public Health, November 2020
DOI 10.1186/s12889-020-09813-z
Pubmed ID
Authors

Matthew Browne, Vijay Rawat, Philip Newall, Stephen Begg, Matthew Rockloff, Nerilee Hing

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 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 %
Student > Ph. D. Student 5 14%
Other 2 6%
Student > Doctoral Student 2 6%
Unspecified 1 3%
Lecturer 1 3%
Other 2 6%
Unknown 23 64%
Readers by discipline Count As %
Psychology 3 8%
Medicine and Dentistry 3 8%
Nursing and Health Professions 3 8%
Social Sciences 2 6%
Unspecified 1 3%
Other 1 3%
Unknown 23 64%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 03 December 2020.
All research outputs
#16,689,742
of 26,017,215 outputs
Outputs from BMC Public Health
#12,594
of 17,876 outputs
Outputs of similar age
#237,193
of 416,943 outputs
Outputs of similar age from BMC Public Health
#207
of 298 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% of other outputs scored the same or lower than it.
So far Altmetric has tracked 17,876 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one is in the 26th percentile – i.e., 26% 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 416,943 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 298 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.