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Mobile phones improve case detection and management of malaria in rural Bangladesh

Overview of attention for article published in Malaria Journal, February 2013
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

blogs
1 blog
policy
1 policy source
twitter
34 X users
facebook
8 Facebook pages
googleplus
2 Google+ users

Citations

dimensions_citation
42 Dimensions

Readers on

mendeley
136 Mendeley
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Title
Mobile phones improve case detection and management of malaria in rural Bangladesh
Published in
Malaria Journal, February 2013
DOI 10.1186/1475-2875-12-48
Pubmed ID
Authors

Chai S Prue, Kerry L Shannon, Jacob Khyang, Laura J Edwards, Sabeena Ahmed, Malathi Ram, Timothy Shields, Mohammad S Hossain, Gregory E Glass, Myaing M Nyunt, David A Sack, David J Sullivan, Wasif A Khan

Abstract

The recent introduction of mobile phones into the rural Bandarban district of Bangladesh provided a resource to improve case detection and treatment of patients with malaria.

X Demographics

X Demographics

The data shown below were collected from the profiles of 34 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 136 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 1%
Cambodia 1 <1%
Switzerland 1 <1%
Unknown 132 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 28 21%
Student > Ph. D. Student 19 14%
Researcher 17 13%
Student > Bachelor 11 8%
Student > Doctoral Student 8 6%
Other 35 26%
Unknown 18 13%
Readers by discipline Count As %
Medicine and Dentistry 35 26%
Social Sciences 16 12%
Agricultural and Biological Sciences 11 8%
Computer Science 10 7%
Nursing and Health Professions 9 7%
Other 27 20%
Unknown 28 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 41. 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 05 April 2016.
All research outputs
#968,845
of 24,889,544 outputs
Outputs from Malaria Journal
#117
of 5,825 outputs
Outputs of similar age
#8,333
of 294,918 outputs
Outputs of similar age from Malaria Journal
#2
of 83 outputs
Altmetric has tracked 24,889,544 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,825 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has done particularly well, scoring higher than 98% 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 294,918 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 83 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.