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Tuberculosis-associated immune reconstitution inflammatory syndrome: case definitions for use in resource-limited settings

Overview of attention for article published in Lancet Infectious Diseases, August 2008
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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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

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3 policy sources
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1 X user
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1 patent
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1 research highlight platform

Citations

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659 Dimensions

Readers on

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386 Mendeley
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Title
Tuberculosis-associated immune reconstitution inflammatory syndrome: case definitions for use in resource-limited settings
Published in
Lancet Infectious Diseases, August 2008
DOI 10.1016/s1473-3099(08)70184-1
Pubmed ID
Authors

Graeme Meintjes, Stephen D Lawn, Fabio Scano, Gary Maartens, Martyn A French, William Worodria, Julian H Elliott, David Murdoch, Robert J Wilkinson, Catherine Seyler, Laurence John, Maarten Schim van der Loeff, Peter Reiss, Lut Lynen, Edward N Janoff, Charles Gilks, Robert Colebunders, for the International Network for the Study of HIV-associated IRIS

Abstract

The immune reconstitution inflammatory syndrome (IRIS) has emerged as an important early complication of antiretroviral therapy (ART) in resource-limited settings, especially in patients with tuberculosis. However, there are no consensus case definitions for IRIS or tuberculosis-associated IRIS. Moreover, previously proposed case definitions are not readily applicable in settings where laboratory resources are limited. As a result, existing studies on tuberculosis-associated IRIS have used a variety of non-standardised general case definitions. To rectify this problem, around 100 researchers, including microbiologists, immunologists, clinicians, epidemiologists, clinical trialists, and public-health specialists from 16 countries met in Kampala, Uganda, in November, 2006. At this meeting, consensus case definitions for paradoxical tuberculosis-associated IRIS, ART-associated tuberculosis, and unmasking tuberculosis-associated IRIS were derived, which can be used in high-income and resource-limited settings. It is envisaged that these definitions could be used by clinicians and researchers in a variety of settings to promote standardisation and comparability of data.

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

Geographical breakdown

Country Count As %
South Africa 5 1%
United States 3 <1%
Brazil 3 <1%
Netherlands 2 <1%
Kenya 2 <1%
Mozambique 1 <1%
Sweden 1 <1%
Tanzania, United Republic of 1 <1%
Belgium 1 <1%
Other 3 <1%
Unknown 364 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 68 18%
Student > Master 57 15%
Student > Ph. D. Student 46 12%
Student > Postgraduate 43 11%
Other 30 8%
Other 87 23%
Unknown 55 14%
Readers by discipline Count As %
Medicine and Dentistry 199 52%
Agricultural and Biological Sciences 34 9%
Immunology and Microbiology 21 5%
Biochemistry, Genetics and Molecular Biology 14 4%
Nursing and Health Professions 13 3%
Other 36 9%
Unknown 69 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 11 April 2023.
All research outputs
#2,615,889
of 25,670,640 outputs
Outputs from Lancet Infectious Diseases
#2,590
of 6,084 outputs
Outputs of similar age
#7,544
of 98,510 outputs
Outputs of similar age from Lancet Infectious Diseases
#4
of 20 outputs
Altmetric has tracked 25,670,640 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,084 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 93.5. This one has gotten more attention than average, scoring higher than 57% 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 98,510 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 92% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.