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One size does not fit all. Should gambling loss limits be based on income?

Overview of attention for article published in Frontiers in Psychiatry, November 2022
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Mentioned by

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1 X user

Citations

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1 Dimensions

Readers on

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3 Mendeley
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Title
One size does not fit all. Should gambling loss limits be based on income?
Published in
Frontiers in Psychiatry, November 2022
DOI 10.3389/fpsyt.2022.1005172
Pubmed ID
Authors

Elias Langeland, Ingvild Faxvaag Johnsen, Kaja Kastrup Sømme, Arne Magnus Morken, Eilin Kristine Erevik, Eirin Kolberg, Jakob Jonsson, Rune Aune Mentzoni, Ståle Pallesen

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 33%
Unknown 2 67%
Readers by discipline Count As %
Psychology 1 33%
Unknown 2 67%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 November 2022.
All research outputs
#20,549,510
of 23,122,481 outputs
Outputs from Frontiers in Psychiatry
#7,876
of 10,243 outputs
Outputs of similar age
#316,218
of 399,656 outputs
Outputs of similar age from Frontiers in Psychiatry
#420
of 660 outputs
Altmetric has tracked 23,122,481 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,243 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one is in the 1st percentile – i.e., 1% 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 399,656 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 660 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.