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Innovation in health economic modelling of service improvements for longer-term depression: demonstration in a local health community

Overview of attention for article published in BMC Health Services Research, April 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

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8 X users
patent
1 patent

Citations

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10 Dimensions

Readers on

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85 Mendeley
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Title
Innovation in health economic modelling of service improvements for longer-term depression: demonstration in a local health community
Published in
BMC Health Services Research, April 2013
DOI 10.1186/1472-6963-13-150
Pubmed ID
Authors

Jonathan Tosh, Ben Kearns, Alan Brennan, Glenys Parry, Thomas Ricketts, David Saxon, Alexis Kilgarriff-Foster, Anna Thake, Eleni Chambers, Rebecca Hutten

Abstract

The purpose of the analysis was to develop a health economic model to estimate the costs and health benefits of alternative National Health Service (NHS) service configurations for people with longer-term depression.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 6 7%
Unknown 79 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 28 33%
Student > Ph. D. Student 14 16%
Student > Master 9 11%
Student > Postgraduate 6 7%
Student > Doctoral Student 4 5%
Other 15 18%
Unknown 9 11%
Readers by discipline Count As %
Medicine and Dentistry 17 20%
Psychology 12 14%
Nursing and Health Professions 9 11%
Social Sciences 8 9%
Economics, Econometrics and Finance 8 9%
Other 15 18%
Unknown 16 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 18 November 2020.
All research outputs
#4,616,224
of 25,701,027 outputs
Outputs from BMC Health Services Research
#2,089
of 8,738 outputs
Outputs of similar age
#37,109
of 206,907 outputs
Outputs of similar age from BMC Health Services Research
#30
of 113 outputs
Altmetric has tracked 25,701,027 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,738 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.3. This one has done well, scoring higher than 76% 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 206,907 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 113 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.