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Translating genomics research into control of tuberculosis: lessons learned and future prospects

Overview of attention for article published in Genome Biology, November 2014
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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)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

blogs
1 blog
twitter
12 X users
facebook
5 Facebook pages
googleplus
1 Google+ user

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
100 Mendeley
citeulike
3 CiteULike
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Title
Translating genomics research into control of tuberculosis: lessons learned and future prospects
Published in
Genome Biology, November 2014
DOI 10.1186/s13059-014-0514-z
Pubmed ID
Authors

Digby F Warner, Valerie Mizrahi

Abstract

Genomics research has enabled crucial insights into the adaptive evolution of Mycobacterium tuberculosis as an obligate human pathogen. Here, we highlight major recent advances and evaluate the potential for genomics approaches to inform tuberculosis control efforts in high-burden settings.

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 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 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Portugal 1 1%
Colombia 1 1%
United Kingdom 1 1%
Sweden 1 1%
Taiwan 1 1%
Canada 1 1%
Unknown 92 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 31 31%
Student > Ph. D. Student 11 11%
Student > Master 9 9%
Student > Bachelor 8 8%
Student > Doctoral Student 6 6%
Other 14 14%
Unknown 21 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 25%
Biochemistry, Genetics and Molecular Biology 18 18%
Medicine and Dentistry 11 11%
Immunology and Microbiology 6 6%
Computer Science 4 4%
Other 11 11%
Unknown 25 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 24 December 2014.
All research outputs
#1,786,792
of 25,374,647 outputs
Outputs from Genome Biology
#1,482
of 4,467 outputs
Outputs of similar age
#20,653
of 276,319 outputs
Outputs of similar age from Genome Biology
#33
of 120 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 66% 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 276,319 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 120 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 72% of its contemporaries.