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Using statistical methods and genotyping to detect tuberculosis outbreaks

Overview of attention for article published in International Journal of Health Geographics, March 2013
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

policy
1 policy source
facebook
1 Facebook page

Readers on

mendeley
65 Mendeley
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Title
Using statistical methods and genotyping to detect tuberculosis outbreaks
Published in
International Journal of Health Geographics, March 2013
DOI 10.1186/1476-072x-12-15
Pubmed ID
Authors

J Steve Kammerer, Nong Shang, Sandy P Althomsons, Maryam B Haddad, Juliana Grant, Thomas R Navin

Abstract

Early identification of outbreaks remains a key component in continuing to reduce the burden of infectious disease in the United States. Previous studies have applied statistical methods to detect unexpected cases of disease in space or time. The objectives of our study were to assess the ability and timeliness of three spatio-temporal methods to detect known outbreaks of tuberculosis.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 65 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 20 31%
Researcher 13 20%
Student > Bachelor 6 9%
Student > Ph. D. Student 6 9%
Other 4 6%
Other 10 15%
Unknown 6 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 23%
Medicine and Dentistry 13 20%
Nursing and Health Professions 5 8%
Immunology and Microbiology 5 8%
Computer Science 3 5%
Other 14 22%
Unknown 10 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 04 November 2013.
All research outputs
#8,262,445
of 25,374,917 outputs
Outputs from International Journal of Health Geographics
#270
of 654 outputs
Outputs of similar age
#68,822
of 210,338 outputs
Outputs of similar age from International Journal of Health Geographics
#6
of 18 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 654 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.7. This one has gotten more attention than average, scoring higher than 56% 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 210,338 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 18 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 61% of its contemporaries.