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Baseline Predictors of Sputum Culture Conversion in Pulmonary Tuberculosis: Importance of Cavities, Smoking, Time to Detection and W-Beijing Genotype

Overview of attention for article published in PLOS ONE, January 2012
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211 Mendeley
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Title
Baseline Predictors of Sputum Culture Conversion in Pulmonary Tuberculosis: Importance of Cavities, Smoking, Time to Detection and W-Beijing Genotype
Published in
PLOS ONE, January 2012
DOI 10.1371/journal.pone.0029588
Pubmed ID
Authors

Marianne E. Visser, Michael C. Stead, Gerhard Walzl, Rob Warren, Michael Schomaker, Harleen M. S. Grewal, Elizabeth C. Swart, Gary Maartens

Abstract

Time to detection (TTD) on automated liquid mycobacterial cultures is an emerging biomarker of tuberculosis outcomes. The M. tuberculosis W-Beijing genotype is spreading globally, indicating a selective advantage. There is a paucity of data on the association between baseline TTD and W-Beijing genotype and tuberculosis outcomes.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 211 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Tanzania, United Republic of 1 <1%
Indonesia 1 <1%
Ecuador 1 <1%
South Africa 1 <1%
India 1 <1%
United States 1 <1%
Unknown 205 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 37 18%
Researcher 36 17%
Student > Ph. D. Student 17 8%
Student > Doctoral Student 13 6%
Student > Postgraduate 12 6%
Other 55 26%
Unknown 41 19%
Readers by discipline Count As %
Medicine and Dentistry 91 43%
Social Sciences 12 6%
Immunology and Microbiology 11 5%
Agricultural and Biological Sciences 10 5%
Nursing and Health Professions 9 4%
Other 24 11%
Unknown 54 26%
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 20 May 2012.
All research outputs
#20,165,369
of 22,675,759 outputs
Outputs from PLOS ONE
#172,721
of 193,562 outputs
Outputs of similar age
#221,351
of 244,283 outputs
Outputs of similar age from PLOS ONE
#2,773
of 3,052 outputs
Altmetric has tracked 22,675,759 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 193,562 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one is in the 1st percentile – i.e., 1% 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 244,283 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3,052 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.