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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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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Mentioned by

twitter
3 tweeters

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
7 Mendeley
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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.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 2 29%
Student > Ph. D. Student 2 29%
Student > Postgraduate 1 14%
Researcher 1 14%
Student > Master 1 14%
Other 0 0%
Readers by discipline Count As %
Unspecified 2 29%
Medicine and Dentistry 2 29%
Mathematics 1 14%
Social Sciences 1 14%
Immunology and Microbiology 1 14%
Other 0 0%

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
#2,568,995
of 5,281,469 outputs
Outputs from BMC Research Notes
#710
of 1,672 outputs
Outputs of similar age
#68,060
of 148,603 outputs
Outputs of similar age from BMC Research Notes
#55
of 127 outputs
Altmetric has tracked 5,281,469 research outputs across all sources so far. This one has received more attention than most of these and is in the 50th percentile.
So far Altmetric has tracked 1,672 research outputs from this source. They receive a mean Attention Score of 4.1. This one has gotten more attention than average, scoring higher than 56% 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 148,603 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 127 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 56% of its contemporaries.