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Genome mining of Mycobacterium tuberculosis: targeting SufD as a novel drug candidate through in silico characterization and inhibitor screening

Overview of attention for article published in Frontiers in Microbiology, April 2024
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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2 X users

Readers on

mendeley
2 Mendeley
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Title
Genome mining of Mycobacterium tuberculosis: targeting SufD as a novel drug candidate through in silico characterization and inhibitor screening
Published in
Frontiers in Microbiology, April 2024
DOI 10.3389/fmicb.2024.1369645
Pubmed ID
Authors

Neelima Gorityala, Anthony Samit Baidya, Someswar R. Sagurthi

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 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 50%
Unknown 1 50%
Readers by discipline Count As %
Unspecified 1 50%
Unknown 1 50%
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 21 May 2024.
All research outputs
#21,021,086
of 25,818,700 outputs
Outputs from Frontiers in Microbiology
#22,007
of 29,842 outputs
Outputs of similar age
#137,556
of 204,879 outputs
Outputs of similar age from Frontiers in Microbiology
#230
of 512 outputs
Altmetric has tracked 25,818,700 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 29,842 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one is in the 17th percentile – i.e., 17% 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 204,879 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 512 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.