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Pooled PCR testing strategy and prevalence estimation of submicroscopic infections using Bayesian latent class models in pregnant women receiving intermittent preventive treatment at Machinga…

Overview of attention for article published in Malaria Journal, December 2014
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Mentioned by

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3 X users

Citations

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19 Dimensions

Readers on

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75 Mendeley
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Title
Pooled PCR testing strategy and prevalence estimation of submicroscopic infections using Bayesian latent class models in pregnant women receiving intermittent preventive treatment at Machinga District Hospital, Malawi, 2010
Published in
Malaria Journal, December 2014
DOI 10.1186/1475-2875-13-509
Pubmed ID
Authors

Zhiyong Zhou, Rebecca Mans Mitchell, Julie Gutman, Ryan E Wiegand, Dyson A Mwandama, Don P Mathanga, Jacek Skarbinski, Ya Ping Shi

Abstract

Low malaria parasite densities in pregnancy are a diagnostic challenge. PCR provides high sensitivity and specificity in detecting low density of parasites, but cost and technical requirements limit its application in resources-limited settings. Pooling samples for PCR detection was explored to estimate prevalence of submicroscopic malaria infection in pregnant women at delivery. Previous work uses gold-standard based methods to calculate sensitivity and specificity of tests, creating a challenge when newer methodologies are substantially more sensitive than the gold standard. Thus prevalence was estimated using Bayesian latent class models (LCMs) in this study.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Burkina Faso 1 1%
Unknown 74 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 19%
Researcher 14 19%
Student > Bachelor 7 9%
Student > Postgraduate 5 7%
Student > Doctoral Student 5 7%
Other 16 21%
Unknown 14 19%
Readers by discipline Count As %
Medicine and Dentistry 20 27%
Agricultural and Biological Sciences 11 15%
Nursing and Health Professions 5 7%
Design 4 5%
Veterinary Science and Veterinary Medicine 3 4%
Other 17 23%
Unknown 15 20%
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 18 March 2020.
All research outputs
#13,926,043
of 22,775,504 outputs
Outputs from Malaria Journal
#3,740
of 5,557 outputs
Outputs of similar age
#181,611
of 353,309 outputs
Outputs of similar age from Malaria Journal
#58
of 116 outputs
Altmetric has tracked 22,775,504 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,557 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one is in the 29th percentile – i.e., 29% 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 353,309 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 116 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.