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A comparison of elasticities of viral levels to specific immune response mechanisms in human immunodeficiency virus infection

Overview of attention for article published in BMC Research Notes, October 2014
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  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

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Title
A comparison of elasticities of viral levels to specific immune response mechanisms in human immunodeficiency virus infection
Published in
BMC Research Notes, October 2014
DOI 10.1186/1756-0500-7-737
Pubmed ID
Authors

Sarudzai P Showa, Farai Nyabadza, Senelani D Hove-Musekwa, Gesham Magombedze

Abstract

The presence of an asymptomatic phase in an HIV infection indicates that the immune system can partially control the infection. Determining the immune mechanisms that contribute significantly to the partial control of the infection enhance the HIV infection intervention strategies and is important in vaccine development. Towards this goal, a discrete time HIV model, which incorporates the life cycle aspects of the virus, the antibody (humoral) response and the cell-mediated immune response is formulated to determine immune system components that are most efficient in controlling viral levels. Ecological relationships are used to model the interplay between the immune system components and the HIV pathogen. Model simulations and transient elasticity analysis of the viral levels to immune response parameters are used to compare the different immune mechanisms.

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

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 25%
Student > Master 2 25%
Student > Postgraduate 1 13%
Researcher 1 13%
Unknown 2 25%
Readers by discipline Count As %
Medicine and Dentistry 2 25%
Computer Science 1 13%
Mathematics 1 13%
Social Sciences 1 13%
Immunology and Microbiology 1 13%
Other 0 0%
Unknown 2 25%
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 27 June 2015.
All research outputs
#14,140,757
of 22,768,097 outputs
Outputs from BMC Research Notes
#1,923
of 4,262 outputs
Outputs of similar age
#133,548
of 259,226 outputs
Outputs of similar age from BMC Research Notes
#48
of 128 outputs
Altmetric has tracked 22,768,097 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 4,262 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 54% of its peers.
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 259,226 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 128 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 62% of its contemporaries.