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Modeling of leishmaniasis infection dynamics: novel application to the design of effective therapies

Overview of attention for article published in BMC Systems Biology, January 2012
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Title
Modeling of leishmaniasis infection dynamics: novel application to the design of effective therapies
Published in
BMC Systems Biology, January 2012
DOI 10.1186/1752-0509-6-1
Pubmed ID
Authors

Bettina M Länger, Cristina Pou-Barreto, Carlos González-Alcón, Basilio Valladares, Bettina Wimmer, Néstor V Torres

Abstract

The WHO considers leishmaniasis as one of the six most important tropical diseases worldwide. It is caused by parasites of the genus Leishmania that are passed on to humans and animals by the phlebotomine sandfly. Despite all of the research, there is still a lack of understanding on the metabolism of the parasite and the progression of the disease. In this study, a mathematical model of disease progression was developed based on experimental data of clinical symptoms, immunological responses, and parasite load for Leishmania amazonensis in BALB/c mice.

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X Demographics

The data shown below were collected from the profile of 1 X user 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 %
United Kingdom 1 2%
France 1 2%
Unknown 49 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 24%
Researcher 7 14%
Student > Master 5 10%
Student > Bachelor 5 10%
Professor > Associate Professor 3 6%
Other 8 16%
Unknown 11 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 35%
Biochemistry, Genetics and Molecular Biology 4 8%
Mathematics 4 8%
Veterinary Science and Veterinary Medicine 2 4%
Medicine and Dentistry 2 4%
Other 9 18%
Unknown 12 24%
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 05 January 2012.
All research outputs
#18,303,566
of 22,661,413 outputs
Outputs from BMC Systems Biology
#834
of 1,142 outputs
Outputs of similar age
#195,188
of 243,401 outputs
Outputs of similar age from BMC Systems Biology
#38
of 46 outputs
Altmetric has tracked 22,661,413 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,142 research outputs from this source. They receive a mean Attention Score of 3.6. 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 243,401 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.