You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
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. |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
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
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.