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Modelling the Epidemiological Impact of Intermittent Preventive Treatment against Malaria in Infants

Overview of attention for article published in PLOS ONE, July 2008
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

Mentioned by

policy
1 policy source
wikipedia
1 Wikipedia page

Citations

dimensions_citation
32 Dimensions

Readers on

mendeley
81 Mendeley
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Title
Modelling the Epidemiological Impact of Intermittent Preventive Treatment against Malaria in Infants
Published in
PLOS ONE, July 2008
DOI 10.1371/journal.pone.0002661
Pubmed ID
Authors

Amanda Ross, Melissa Penny, Nicolas Maire, Alain Studer, Ilona Carneiro, David Schellenberg, Brian Greenwood, Marcel Tanner, Thomas Smith

Abstract

Trials of intermittent preventive treatment against malaria in infants (IPTi) using sulphadoxine-pyrimethamine (SP) have shown a positive, albeit variable, protective efficacy against clinical malaria episodes. The impact of IPTi in different epidemiological settings and over time is unknown and predictions are hampered by the lack of knowledge about how IPTi works. We investigated mechanisms proposed for the action of IPTi and made predictions of the likely impact on morbidity and mortality.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 4%
Germany 2 2%
United Kingdom 2 2%
France 1 1%
Tanzania, United Republic of 1 1%
Spain 1 1%
Netherlands 1 1%
Unknown 70 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 23%
Researcher 18 22%
Student > Master 11 14%
Student > Bachelor 5 6%
Student > Doctoral Student 4 5%
Other 17 21%
Unknown 7 9%
Readers by discipline Count As %
Medicine and Dentistry 28 35%
Agricultural and Biological Sciences 17 21%
Social Sciences 6 7%
Mathematics 5 6%
Computer Science 4 5%
Other 13 16%
Unknown 8 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 March 2018.
All research outputs
#4,666,404
of 22,661,413 outputs
Outputs from PLOS ONE
#63,412
of 193,502 outputs
Outputs of similar age
#15,523
of 81,057 outputs
Outputs of similar age from PLOS ONE
#193
of 468 outputs
Altmetric has tracked 22,661,413 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 193,502 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has gotten more attention than average, scoring higher than 66% 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 81,057 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 468 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 52% of its contemporaries.