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Using classification tree modelling to investigate drug prescription practices at health facilities in rural Tanzania

Overview of attention for article published in Malaria Journal, September 2012
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Mentioned by

twitter
1 tweeter

Citations

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7 Dimensions

Readers on

mendeley
1 Mendeley
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Title
Using classification tree modelling to investigate drug prescription practices at health facilities in rural Tanzania
Published in
Malaria Journal, September 2012
DOI 10.1186/1475-2875-11-311
Pubmed ID
Authors

Dan K Kajungu, Majige Selemani, Irene Masanja, Amuri Baraka, Mustafa Njozi, Rashid Khatib, Alexander N Dodoo, Fred Binka, Jean Macq, Umberto D’Alessandro, Niko Speybroeck

Abstract

Drug prescription practices depend on several factors related to the patient, health worker and health facilities. A better understanding of the factors influencing prescription patterns is essential to develop strategies to mitigate the negative consequences associated with poor practices in both the public and private sectors.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Unknown 1 100%
Readers by discipline Count As %
Unknown 1 100%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 September 2012.
All research outputs
#5,011,160
of 9,202,350 outputs
Outputs from Malaria Journal
#2,332
of 3,194 outputs
Outputs of similar age
#52,488
of 102,766 outputs
Outputs of similar age from Malaria Journal
#55
of 80 outputs
Altmetric has tracked 9,202,350 research outputs across all sources so far. This one is in the 27th percentile – i.e., 27% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,194 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 19th percentile – i.e., 19% 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 102,766 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 80 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.