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Potential of novel Mycobacterium tuberculosis infection phase-dependent antigens in the diagnosis of TB disease in a high burden setting

Overview of attention for article published in BMC Infectious Diseases, January 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

blogs
2 blogs
twitter
4 tweeters
patent
3 patents

Citations

dimensions_citation
55 Dimensions

Readers on

mendeley
108 Mendeley
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Title
Potential of novel Mycobacterium tuberculosis infection phase-dependent antigens in the diagnosis of TB disease in a high burden setting
Published in
BMC Infectious Diseases, January 2012
DOI 10.1186/1471-2334-12-10
Pubmed ID
Authors

Novel N Chegou, Gillian F Black, Andre G Loxton, Kim Stanley, Paulin N Essone, Michel R Klein, Shreemanta K Parida, Stefan HE Kaufmann, T Mark Doherty, Annemieke H Friggen, Kees L Franken, Tom H Ottenhoff, Gerhard Walzl

Abstract

Confirming tuberculosis (TB) disease in suspects in resource limited settings is challenging and calls for the development of more suitable diagnostic tools. Different Mycobacterium tuberculosis (M.tb) infection phase-dependent antigens may be differentially recognized in infected and diseased individuals and therefore useful as diagnostic tools for differentiating between M.tb infection states. In this study, we assessed the diagnostic potential of 118 different M.tb infection phase-dependent antigens in TB patients and household contacts (HHCs) in a high-burden setting.

Twitter Demographics

The data shown below were collected from the profiles of 4 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 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Ukraine 1 <1%
Australia 1 <1%
Egypt 1 <1%
Unknown 105 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 19%
Student > Ph. D. Student 20 19%
Student > Master 18 17%
Student > Postgraduate 11 10%
Student > Doctoral Student 7 6%
Other 17 16%
Unknown 14 13%
Readers by discipline Count As %
Medicine and Dentistry 27 25%
Agricultural and Biological Sciences 21 19%
Biochemistry, Genetics and Molecular Biology 13 12%
Immunology and Microbiology 12 11%
Nursing and Health Professions 4 4%
Other 9 8%
Unknown 22 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 26. 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 19 June 2018.
All research outputs
#748,089
of 14,800,128 outputs
Outputs from BMC Infectious Diseases
#133
of 5,507 outputs
Outputs of similar age
#7,928
of 212,696 outputs
Outputs of similar age from BMC Infectious Diseases
#1
of 8 outputs
Altmetric has tracked 14,800,128 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,507 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one has done particularly well, scoring higher than 97% 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 212,696 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them