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Systems level mapping of metabolic complexity in Mycobacterium tuberculosis to identify high-value drug targets

Overview of attention for article published in Journal of Translational Medicine, October 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 (89th percentile)

Mentioned by

twitter
15 tweeters
facebook
3 Facebook pages
googleplus
1 Google+ user

Citations

dimensions_citation
25 Dimensions

Readers on

mendeley
79 Mendeley
citeulike
1 CiteULike
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Title
Systems level mapping of metabolic complexity in Mycobacterium tuberculosis to identify high-value drug targets
Published in
Journal of Translational Medicine, October 2014
DOI 10.1186/s12967-014-0263-5
Pubmed ID
Authors

Rohit Vashisht, Ashwini G Bhat, Shreeram Kushwaha, Anshu Bhardwaj, OSDD Consortium, Samir K Brahmachari

Abstract

The effectiveness of current therapeutic regimens for Mycobacterium tuberculosis (Mtb) is diminished by the need for prolonged therapy and the rise of drug resistant/tolerant strains. This global health threat, despite decades of basic research and a wealth of legacy knowledge, is due to a lack of systems level understanding that can innovate the process of fast acting and high efficacy drug discovery.

Twitter Demographics

The data shown below were collected from the profiles of 15 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
India 1 1%
United States 1 1%
South Africa 1 1%
Unknown 75 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 22%
Researcher 15 19%
Student > Master 11 14%
Student > Bachelor 6 8%
Other 4 5%
Other 14 18%
Unknown 12 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 27 34%
Biochemistry, Genetics and Molecular Biology 12 15%
Medicine and Dentistry 5 6%
Immunology and Microbiology 4 5%
Psychology 3 4%
Other 9 11%
Unknown 19 24%

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 05 March 2015.
All research outputs
#1,302,368
of 13,974,181 outputs
Outputs from Journal of Translational Medicine
#190
of 2,713 outputs
Outputs of similar age
#22,815
of 212,869 outputs
Outputs of similar age from Journal of Translational Medicine
#1
of 1 outputs
Altmetric has tracked 13,974,181 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,713 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one has done particularly well, scoring higher than 92% 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 212,869 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them