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Michigan Publishing

Optimization of Benzoxazinorifamycins to Improve Mycobacterium tuberculosis RNA Polymerase Inhibition and Treatment of Tuberculosis

Overview of attention for article published in ACS Infectious Diseases, June 2022
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1 X user

Citations

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Readers on

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13 Mendeley
Title
Optimization of Benzoxazinorifamycins to Improve Mycobacterium tuberculosis RNA Polymerase Inhibition and Treatment of Tuberculosis
Published in
ACS Infectious Diseases, June 2022
DOI 10.1021/acsinfecdis.1c00636
Pubmed ID
Authors

Walajapet Rajeswaran, Shireen R. Ashkar, Pil H. Lee, Larisa Yeomans, Yeonoh Shin, Scott G. Franzblau, Katsuhiko S. Murakami, Hollis D. Showalter, George A. Garcia

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 23%
Professor > Associate Professor 2 15%
Student > Ph. D. Student 1 8%
Student > Master 1 8%
Unknown 6 46%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 2 15%
Biochemistry, Genetics and Molecular Biology 2 15%
Nursing and Health Professions 1 8%
Unknown 8 62%
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 08 November 2022.
All research outputs
#17,563,964
of 25,750,437 outputs
Outputs from ACS Infectious Diseases
#1,098
of 1,529 outputs
Outputs of similar age
#262,816
of 442,970 outputs
Outputs of similar age from ACS Infectious Diseases
#32
of 42 outputs
Altmetric has tracked 25,750,437 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,529 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one is in the 22nd percentile – i.e., 22% 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 442,970 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.