↓ Skip to main content

Using Routinely Reported Tuberculosis Genotyping and Surveillance Data to Predict Tuberculosis Outbreaks

Overview of attention for article published in PLOS ONE, November 2012
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

Mentioned by

twitter
6 X users

Citations

dimensions_citation
30 Dimensions

Readers on

mendeley
92 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Using Routinely Reported Tuberculosis Genotyping and Surveillance Data to Predict Tuberculosis Outbreaks
Published in
PLOS ONE, November 2012
DOI 10.1371/journal.pone.0048754
Pubmed ID
Authors

Sandy P. Althomsons, J. Steven Kammerer, Nong Shang, Thomas R. Navin

Abstract

We combined routinely reported tuberculosis (TB) patient characteristics with genotyping data and measures of geospatial concentration to predict which small clusters (i.e., consisting of only 3 TB patients) in the United States were most likely to become outbreaks of at least 6 TB cases. Of 146 clusters analyzed, 16 (11.0%) grew into outbreaks. Clusters most likely to become outbreaks were those in which at least 1 of the first 3 patients reported homelessness or excess alcohol or illicit drug use or was incarcerated at the time of TB diagnosis and in which the cluster grew rapidly (i.e., the third case was diagnosed within 5.3 months of the first case). Of 17 clusters with these characteristics and therefore considered high risk, 9 (53%) became outbreaks. This retrospective cohort analysis of clusters in the United States suggests that routinely reported data may identify small clusters that are likely to become outbreaks and which are therefore candidates for intensified contact investigations.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Japan 1 1%
Guadeloupe 1 1%
Unknown 88 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 20 22%
Researcher 13 14%
Student > Bachelor 8 9%
Student > Ph. D. Student 8 9%
Other 5 5%
Other 12 13%
Unknown 26 28%
Readers by discipline Count As %
Medicine and Dentistry 25 27%
Agricultural and Biological Sciences 14 15%
Social Sciences 7 8%
Nursing and Health Professions 4 4%
Computer Science 3 3%
Other 9 10%
Unknown 30 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 29 November 2012.
All research outputs
#7,419,285
of 22,685,926 outputs
Outputs from PLOS ONE
#88,094
of 193,650 outputs
Outputs of similar age
#59,194
of 183,514 outputs
Outputs of similar age from PLOS ONE
#1,845
of 4,904 outputs
Altmetric has tracked 22,685,926 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 193,650 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 49th percentile – i.e., 49% 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 183,514 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4,904 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.