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Nested PCR detection of malaria directly using blood filter paper samples from epidemiological surveys

Overview of attention for article published in Malaria Journal, May 2014
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  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

Mentioned by

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3 X users

Citations

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59 Dimensions

Readers on

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117 Mendeley
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Title
Nested PCR detection of malaria directly using blood filter paper samples from epidemiological surveys
Published in
Malaria Journal, May 2014
DOI 10.1186/1475-2875-13-175
Pubmed ID
Authors

Peipei Li, Zhenjun Zhao, Ying Wang, Hua Xing, Daniel M Parker, Zhaoqing Yang, Elizabeth Baum, Wenli Li, Jetsumon Sattabongkot, Jeeraphat Sirichaisinthop, Shuying Li, Guiyun Yan, Liwang Cui, Qi Fan

Abstract

Nested PCR is considered a sensitive and specific method for detecting malaria parasites and is especially useful in epidemiological surveys. However, the preparation of DNA templates for PCR is often time-consuming and costly.

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

Geographical breakdown

Country Count As %
Madagascar 2 2%
Kenya 1 <1%
Colombia 1 <1%
Thailand 1 <1%
United Kingdom 1 <1%
Unknown 111 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 25 21%
Researcher 16 14%
Student > Bachelor 16 14%
Student > Ph. D. Student 14 12%
Other 5 4%
Other 13 11%
Unknown 28 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 17%
Medicine and Dentistry 17 15%
Immunology and Microbiology 15 13%
Biochemistry, Genetics and Molecular Biology 13 11%
Nursing and Health Professions 5 4%
Other 15 13%
Unknown 32 27%
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 05 November 2016.
All research outputs
#13,713,889
of 22,756,196 outputs
Outputs from Malaria Journal
#3,686
of 5,553 outputs
Outputs of similar age
#115,304
of 227,623 outputs
Outputs of similar age from Malaria Journal
#46
of 101 outputs
Altmetric has tracked 22,756,196 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,553 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 32nd percentile – i.e., 32% 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 227,623 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 101 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 53% of its contemporaries.