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A multi-level multi-scale approach to study essential genes in Mycobacterium tuberculosis

Overview of attention for article published in BMC Systems Biology, December 2013
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (75th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

twitter
2 X users
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
90 Mendeley
citeulike
1 CiteULike
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Title
A multi-level multi-scale approach to study essential genes in Mycobacterium tuberculosis
Published in
BMC Systems Biology, December 2013
DOI 10.1186/1752-0509-7-132
Pubmed ID
Authors

Soma Ghosh, Priyanka Baloni, Sumanta Mukherjee, Praveen Anand, Nagasuma Chandra

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 2 2%
Sweden 1 1%
Colombia 1 1%
Singapore 1 1%
United States 1 1%
Unknown 84 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 23%
Researcher 17 19%
Student > Master 17 19%
Professor > Associate Professor 8 9%
Student > Bachelor 5 6%
Other 10 11%
Unknown 12 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 33 37%
Biochemistry, Genetics and Molecular Biology 17 19%
Computer Science 10 11%
Engineering 5 6%
Immunology and Microbiology 4 4%
Other 6 7%
Unknown 15 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 10 November 2022.
All research outputs
#6,235,873
of 23,081,466 outputs
Outputs from BMC Systems Biology
#209
of 1,144 outputs
Outputs of similar age
#73,146
of 308,451 outputs
Outputs of similar age from BMC Systems Biology
#7
of 64 outputs
Altmetric has tracked 23,081,466 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1,144 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done well, scoring higher than 81% 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 308,451 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 75% of its contemporaries.
We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.