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New approaches to measuring anthelminthic drug efficacy: parasitological responses of childhood schistosome infections to treatment with praziquantel

Overview of attention for article published in Parasites & Vectors, January 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

policy
1 policy source
twitter
4 tweeters

Citations

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23 Dimensions

Readers on

mendeley
55 Mendeley
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Title
New approaches to measuring anthelminthic drug efficacy: parasitological responses of childhood schistosome infections to treatment with praziquantel
Published in
Parasites & Vectors, January 2016
DOI 10.1186/s13071-016-1312-0
Pubmed ID
Authors

Martin Walker, Tarub S. Mabud, Piero L. Olliaro, Jean T. Coulibaly, Charles H. King, Giovanna Raso, Alexandra U. Scherrer, J. Russell Stothard, José Carlos Sousa-Figueiredo, Katarina Stete, Jürg Utzinger, Maria-Gloria Basáñez

Abstract

By 2020, the global health community aims to control and eliminate human helminthiases, including schistosomiasis in selected African countries, principally by preventive chemotherapy (PCT) through mass drug administration (MDA) of anthelminthics. Quantitative monitoring of anthelminthic responses is crucial for promptly detecting changes in efficacy, potentially indicative of emerging drug resistance. Statistical models offer a powerful means to delineate and compare efficacy among individuals, among groups of individuals and among populations. We illustrate a variety of statistical frameworks that offer different levels of inference by analysing data from nine previous studies on egg counts collected from African children before and after administration of praziquantel. We quantify responses to praziquantel as egg reduction rates (ERRs), using different frameworks to estimate ERRs among population strata, as average responses, and within strata, as individual responses. We compare our model-based average ERRs to corresponding model-free estimates, using as reference the World Health Organization (WHO) 90 % threshold of optimal efficacy. We estimate distributions of individual responses and summarize the variation among these responses as the fraction of ERRs falling below the WHO threshold. Generic models for evaluating responses to anthelminthics deepen our understanding of variation among populations, sub-populations and individuals. We discuss the future application of statistical modelling approaches for monitoring and evaluation of PCT programmes targeting human helminthiases in the context of the WHO 2020 control and elimination goals.

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters 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 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 55 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 16 29%
Student > Ph. D. Student 7 13%
Student > Doctoral Student 7 13%
Researcher 6 11%
Lecturer 3 5%
Other 11 20%
Unknown 5 9%
Readers by discipline Count As %
Medicine and Dentistry 15 27%
Nursing and Health Professions 7 13%
Agricultural and Biological Sciences 7 13%
Pharmacology, Toxicology and Pharmaceutical Science 4 7%
Chemistry 2 4%
Other 12 22%
Unknown 8 15%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 22 April 2017.
All research outputs
#2,150,086
of 9,722,262 outputs
Outputs from Parasites & Vectors
#509
of 2,747 outputs
Outputs of similar age
#84,892
of 342,716 outputs
Outputs of similar age from Parasites & Vectors
#31
of 163 outputs
Altmetric has tracked 9,722,262 research outputs across all sources so far. Compared to these this one has done well and is in the 77th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,747 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done well, scoring higher than 81% 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 342,716 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 163 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.