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Helping to prioritise interventions for depression and schizophrenia: use of Population Impact Measures

Overview of attention for article published in Clinical Practice and Epidemiology in Mental Health, March 2006
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Mentioned by

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1 Wikipedia page

Citations

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9 Dimensions

Readers on

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46 Mendeley
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Title
Helping to prioritise interventions for depression and schizophrenia: use of Population Impact Measures
Published in
Clinical Practice and Epidemiology in Mental Health, March 2006
DOI 10.1186/1745-0179-2-3
Pubmed ID
Authors

Richard F Heller, Islay Gemmell, Lesley Patterson

Abstract

To demonstrate the potential of Population Impact Measures in helping to prioritise alternative interventions for psychiatry, this paper estimates the number of relapses and hospital readmissions prevented for depression and schizophrenia by adopting best practice recommendations. The results are designed to relate to particular local populations.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 45 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 17%
Researcher 7 15%
Student > Doctoral Student 4 9%
Professor > Associate Professor 4 9%
Student > Ph. D. Student 3 7%
Other 8 17%
Unknown 12 26%
Readers by discipline Count As %
Psychology 13 28%
Medicine and Dentistry 13 28%
Nursing and Health Professions 4 9%
Social Sciences 3 7%
Agricultural and Biological Sciences 1 2%
Other 0 0%
Unknown 12 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 26 October 2010.
All research outputs
#8,534,528
of 25,373,627 outputs
Outputs from Clinical Practice and Epidemiology in Mental Health
#105
of 235 outputs
Outputs of similar age
#29,489
of 86,125 outputs
Outputs of similar age from Clinical Practice and Epidemiology in Mental Health
#3
of 5 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 235 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 24.5. This one is in the 43rd percentile – i.e., 43% 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 86,125 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.