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Molecular immunologic correlates of spontaneous latency in a rabbit model of pulmonary tuberculosis

Overview of attention for article published in Cell Communication and Signaling, February 2013
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Title
Molecular immunologic correlates of spontaneous latency in a rabbit model of pulmonary tuberculosis
Published in
Cell Communication and Signaling, February 2013
DOI 10.1186/1478-811x-11-16
Pubmed ID
Authors

Selvakumar Subbian, Paul O’Brien, Nicole L Kushner, Guibin Yang, Liana Tsenova, Blas Peixoto, Nirmalya Bandyopadhyay, Joel S Bader, Petros C Karakousis, Dorothy Fallows, Gilla Kaplan

Abstract

Infection of humans with Mycobacterium tuberculosis (Mtb) results in latent tuberculosis infection (LTBI) in 90-95% of immune competent individuals, with no symptoms of active disease. The World Health Organization estimates that 1.5 billion people have LTBI, which can reactivate in the setting of waning host immunity, posing a threat to global TB control. Various animal models have been used to study the pathogenesis of TB. However, besides nonhuman primates, rabbits are the only animal model that fully recapitulates the pathological features of human TB, including progressive disease with necrosis and cavitation or establishment of spontaneous latency.

X Demographics

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

Geographical breakdown

Country Count As %
South Africa 3 6%
United States 1 2%
Canada 1 2%
Brazil 1 2%
Unknown 43 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 20%
Researcher 9 18%
Student > Master 7 14%
Student > Bachelor 6 12%
Student > Doctoral Student 3 6%
Other 8 16%
Unknown 6 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 37%
Medicine and Dentistry 7 14%
Biochemistry, Genetics and Molecular Biology 6 12%
Pharmacology, Toxicology and Pharmaceutical Science 3 6%
Immunology and Microbiology 3 6%
Other 2 4%
Unknown 10 20%
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 March 2013.
All research outputs
#18,331,227
of 22,699,621 outputs
Outputs from Cell Communication and Signaling
#686
of 979 outputs
Outputs of similar age
#146,758
of 192,986 outputs
Outputs of similar age from Cell Communication and Signaling
#5
of 7 outputs
Altmetric has tracked 22,699,621 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 979 research outputs from this source. They receive a mean Attention Score of 4.0. 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 192,986 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.