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Leapfrog diagnostics: Demonstration of a broad spectrum pathogen identification platform in a resource-limited setting

Overview of attention for article published in Health Research Policy and Systems, July 2012
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2 X users

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Title
Leapfrog diagnostics: Demonstration of a broad spectrum pathogen identification platform in a resource-limited setting
Published in
Health Research Policy and Systems, July 2012
DOI 10.1186/1478-4505-10-22
Pubmed ID
Authors

Tomasz A Leski, Rashid Ansumana, Anthony P Malanoski, David H Jimmy, Umaru Bangura, Brian R Barrows, Morie Alpha, Bashiru M Koroma, Nina C Long, Abu J Sundufu, Alfred S Bockarie, Baochuan Lin, David A Stenger

Abstract

Resource-limited tropical countries are home to numerous infectious pathogens of both human and zoonotic origin. A capability for early detection to allow rapid outbreak containment and prevent spread to non-endemic regions is severely impaired by inadequate diagnostic laboratory capacity, the absence of a "cold chain" and the lack of highly trained personnel. Building up detection capacity in these countries by direct replication of the systems existing in developed countries is not a feasible approach and instead requires "leapfrogging" to the deployment of the newest diagnostic systems that do not have the infrastructure requirements of systems used in developed countries.

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

Geographical breakdown

Country Count As %
Hungary 1 2%
Denmark 1 2%
Unknown 58 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 22%
Student > Ph. D. Student 8 13%
Student > Master 7 12%
Professor 3 5%
Student > Bachelor 3 5%
Other 11 18%
Unknown 15 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 18%
Immunology and Microbiology 6 10%
Biochemistry, Genetics and Molecular Biology 4 7%
Medicine and Dentistry 4 7%
Social Sciences 4 7%
Other 16 27%
Unknown 15 25%
Attention Score in Context

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 13 October 2022.
All research outputs
#15,825,047
of 23,515,383 outputs
Outputs from Health Research Policy and Systems
#1,108
of 1,237 outputs
Outputs of similar age
#106,309
of 165,456 outputs
Outputs of similar age from Health Research Policy and Systems
#9
of 10 outputs
Altmetric has tracked 23,515,383 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,237 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.1. This one is in the 7th percentile – i.e., 7% 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 165,456 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one.