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A systematic evaluation of Mycobacterium tuberculosis Genome-Scale Metabolic Networks

Overview of attention for article published in PLoS Computational Biology, June 2020
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75 Mendeley
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Article details
Title
A systematic evaluation of Mycobacterium tuberculosis Genome-Scale Metabolic Networks
Published in
PLoS Computational Biology, June 2020
DOI 10.1371/journal.pcbi.1007533
Pubmed ID
Authors

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Timeline Attention over time Attention Score history
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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 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 75 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 11 15%
Student > Bachelor 9 12%
Student > Ph. D. Student 8 11%
Professor 4 5%
Lecturer 3 4%
Other 16 21%
Unknown 24 32%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 16 21%
Computer Science 6 8%
Immunology and Microbiology 5 7%
Chemical Engineering 5 7%
Agricultural and Biological Sciences 3 4%
Other 14 19%
Unknown 26 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 22 June 2020.
All research outputs
#27,743,143
of 34,378,656 outputs
Outputs from PLoS Computational Biology
#9,132
of 10,413 outputs
Outputs of similar age
#352,318
of 461,908 outputs
Outputs of similar age from PLoS Computational Biology
#160
of 171 outputs
Altmetric has tracked 34,378,656 research outputs across all sources so far. This one is in the 16th percentile – i.e., 16% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,413 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.7. This one is in the 9th percentile – i.e., 9% 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 461,908 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 171 others from the same source and published within six weeks on either side of this one. This one is in the 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.