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Implications of sex offender classification on reporting demographic characteristics, health, and criminal careers: results from an Australian jurisdiction

Overview of attention for article published in BMC Medical Research Methodology, April 2020
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Mentioned by

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1 X user

Citations

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3 Dimensions

Readers on

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29 Mendeley
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Title
Implications of sex offender classification on reporting demographic characteristics, health, and criminal careers: results from an Australian jurisdiction
Published in
BMC Medical Research Methodology, April 2020
DOI 10.1186/s12874-020-00960-w
Pubmed ID
Authors

Mathew Gullotta, David Greenberg, Armita Adily, Jesse Cale, Tony G. Butler

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 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 17%
Student > Doctoral Student 2 7%
Student > Master 2 7%
Researcher 2 7%
Student > Ph. D. Student 1 3%
Other 2 7%
Unknown 15 52%
Readers by discipline Count As %
Psychology 6 21%
Pharmacology, Toxicology and Pharmaceutical Science 3 10%
Medicine and Dentistry 2 7%
Nursing and Health Professions 1 3%
Social Sciences 1 3%
Other 1 3%
Unknown 15 52%
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 10 June 2020.
All research outputs
#21,970,562
of 24,513,158 outputs
Outputs from BMC Medical Research Methodology
#2,042
of 2,174 outputs
Outputs of similar age
#326,390
of 380,253 outputs
Outputs of similar age from BMC Medical Research Methodology
#72
of 75 outputs
Altmetric has tracked 24,513,158 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 2,174 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 380,253 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 75 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.