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Differential cellular recognition pattern to M. tuberculosis targets defined by IFN-γ and IL-17 production in blood from TB + patients from Honduras as compared to health care workers: TB and immune…

Overview of attention for article published in BMC Infectious Diseases, March 2013
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Mentioned by

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3 X users

Citations

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17 Dimensions

Readers on

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44 Mendeley
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Title
Differential cellular recognition pattern to M. tuberculosis targets defined by IFN-γ and IL-17 production in blood from TB + patients from Honduras as compared to health care workers: TB and immune responses in patients from Honduras
Published in
BMC Infectious Diseases, March 2013
DOI 10.1186/1471-2334-13-125
Pubmed ID
Authors

Nancy Alvarez-Corrales, Raija K Ahmed, Carol A Rodriguez, Kithiganahalli N Balaji, Rebeca Rivera, Ramakrishna Sompallae, Nalini K Vudattu, Sven E Hoffner, Alimuddin Zumla, Lelany Pineda-Garcia, Markus Maeurer

Abstract

A better understanding of the quality of cellular immune responses directed against molecularly defined targets will guide the development of TB diagnostics and identification of molecularly defined, clinically relevant M.tb vaccine candidates.

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

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 16%
Researcher 6 14%
Student > Ph. D. Student 5 11%
Other 3 7%
Student > Bachelor 2 5%
Other 10 23%
Unknown 11 25%
Readers by discipline Count As %
Medicine and Dentistry 14 32%
Biochemistry, Genetics and Molecular Biology 5 11%
Agricultural and Biological Sciences 4 9%
Immunology and Microbiology 4 9%
Nursing and Health Professions 2 5%
Other 5 11%
Unknown 10 23%
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 26 March 2013.
All research outputs
#14,746,859
of 22,699,621 outputs
Outputs from BMC Infectious Diseases
#4,048
of 7,645 outputs
Outputs of similar age
#117,757
of 194,888 outputs
Outputs of similar age from BMC Infectious Diseases
#88
of 158 outputs
Altmetric has tracked 22,699,621 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,645 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one is in the 42nd percentile – i.e., 42% 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 194,888 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 158 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.