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A qualitative exploration of the human resource policy implications of voluntary counselling and testing scale-up in Kenya: applying a model for policy analysis

Overview of attention for article published in BMC Public Health, October 2011
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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 (84th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

policy
1 policy source
twitter
6 X users

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
95 Mendeley
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Title
A qualitative exploration of the human resource policy implications of voluntary counselling and testing scale-up in Kenya: applying a model for policy analysis
Published in
BMC Public Health, October 2011
DOI 10.1186/1471-2458-11-812
Pubmed ID
Authors

Miriam Taegtmeyer, Tim Martineau, Jane H Namwebya, Annrita Ikahu, Carol W Ngare, James Sakwa, David G Lalloo, Sally Theobald

Abstract

Kenya experienced rapid scale up of HIV testing and counselling services in government health services from 2001. We set out to examine the human resource policy implications of scaling up HIV testing and counselling in Kenya and to analyse the resultant policy against a recognised theoretical framework of health policy reform (policy analysis triangle).

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Kenya 1 1%
South Africa 1 1%
Unknown 92 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 20 21%
Researcher 18 19%
Student > Ph. D. Student 15 16%
Lecturer > Senior Lecturer 5 5%
Student > Doctoral Student 3 3%
Other 15 16%
Unknown 19 20%
Readers by discipline Count As %
Medicine and Dentistry 24 25%
Social Sciences 15 16%
Nursing and Health Professions 14 15%
Computer Science 4 4%
Psychology 4 4%
Other 15 16%
Unknown 19 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 October 2021.
All research outputs
#3,747,849
of 22,655,397 outputs
Outputs from BMC Public Health
#4,148
of 14,737 outputs
Outputs of similar age
#21,511
of 139,128 outputs
Outputs of similar age from BMC Public Health
#39
of 194 outputs
Altmetric has tracked 22,655,397 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,737 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one has gotten more attention than average, scoring higher than 71% 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 139,128 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 84% of its contemporaries.
We're also able to compare this research output to 194 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.