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A methodological framework for the improved use of routine health system data to evaluate national malaria control programs: evidence from Zambia

Overview of attention for article published in Population Health Metrics, November 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

policy
1 policy source
twitter
2 X users

Citations

dimensions_citation
38 Dimensions

Readers on

mendeley
125 Mendeley
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Title
A methodological framework for the improved use of routine health system data to evaluate national malaria control programs: evidence from Zambia
Published in
Population Health Metrics, November 2014
DOI 10.1186/s12963-014-0030-0
Pubmed ID
Authors

Adam Bennett, Joshua Yukich, John M Miller, Penelope Vounatsou, Busiku Hamainza, Mercy M Ingwe, Hawela B Moonga, Mulakwo Kamuliwo, Joseph Keating, Thomas A Smith, Richard W Steketee, Thomas P Eisele

Abstract

Due to challenges in laboratory confirmation, reporting completeness, timeliness, and health access, routine incidence data from health management information systems (HMIS) have rarely been used for the rigorous evaluation of malaria control program scale-up in Africa.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 125 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
United States 1 <1%
Unknown 123 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 29 23%
Researcher 19 15%
Student > Ph. D. Student 18 14%
Student > Doctoral Student 10 8%
Student > Bachelor 6 5%
Other 23 18%
Unknown 20 16%
Readers by discipline Count As %
Medicine and Dentistry 33 26%
Social Sciences 19 15%
Nursing and Health Professions 13 10%
Agricultural and Biological Sciences 8 6%
Computer Science 7 6%
Other 20 16%
Unknown 25 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 November 2022.
All research outputs
#7,716,656
of 25,271,884 outputs
Outputs from Population Health Metrics
#205
of 410 outputs
Outputs of similar age
#100,166
of 375,154 outputs
Outputs of similar age from Population Health Metrics
#1
of 7 outputs
Altmetric has tracked 25,271,884 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 410 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.7. This one is in the 49th percentile – i.e., 49% 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 375,154 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them