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Models for measuring anthelmintic drug efficacy for parasitologists

Overview of attention for article published in Trends in Parasitology, September 2014
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Title
Models for measuring anthelmintic drug efficacy for parasitologists
Published in
Trends in Parasitology, September 2014
DOI 10.1016/j.pt.2014.08.004
Pubmed ID
Authors

Martin Walker, Thomas S. Churcher, María-Gloria Basáñez

Abstract

Anthelmintic drug efficacy (ADE) is generally estimated as a population average effect, despite drug responses varying among individuals according to a variety of measurable and non-measurable factors. Model-based and/or individual-level analyses are scarce and often methodologically frail. We propose that wider application of marginal and mixed models would offer benefits to the evaluation of ADE. We demonstrate, with a worked example, how model-based analyses: (i) capture the effects of correlation among hierarchically structured longitudinal data on estimates of ADE; (ii) permit robust inference on the association of measurable factors with ADE; and (iii) enable estimation of variation among individual-level estimates of ADE. The application of modelling approaches is discussed in the context of mass drug administration-based control of human helminthiases.

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 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 1 2%
Unknown 50 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 24%
Student > Ph. D. Student 8 16%
Professor > Associate Professor 5 10%
Student > Bachelor 3 6%
Student > Doctoral Student 3 6%
Other 9 18%
Unknown 11 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 24%
Medicine and Dentistry 11 22%
Veterinary Science and Veterinary Medicine 4 8%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Biochemistry, Genetics and Molecular Biology 2 4%
Other 8 16%
Unknown 12 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 29 October 2014.
All research outputs
#16,580,596
of 25,374,647 outputs
Outputs from Trends in Parasitology
#2,043
of 2,303 outputs
Outputs of similar age
#140,998
of 250,310 outputs
Outputs of similar age from Trends in Parasitology
#14
of 18 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,303 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.6. This one is in the 11th percentile – i.e., 11% 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 250,310 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 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.