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Prioritization of Mur family drug targets against A. baumannii and identification of their homologous proteins through molecular phylogeny, primary sequence, and structural analysis

Overview of attention for article published in Journal of Genetic Engineering and Biotechnology, July 2020
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

twitter
2 X users

Citations

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7 Dimensions

Readers on

mendeley
25 Mendeley
Title
Prioritization of Mur family drug targets against A. baumannii and identification of their homologous proteins through molecular phylogeny, primary sequence, and structural analysis
Published in
Journal of Genetic Engineering and Biotechnology, July 2020
DOI 10.1186/s43141-020-00048-4
Pubmed ID
Authors

Gizachew Muluneh Amera, Rameez Jabeer Khan, Rajat Kumar Jha, Amita Pathak, Jayaraman Muthukumaran, Amit Kumar Singh

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

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 12%
Student > Ph. D. Student 3 12%
Student > Doctoral Student 1 4%
Student > Master 1 4%
Student > Postgraduate 1 4%
Other 0 0%
Unknown 16 64%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 12%
Agricultural and Biological Sciences 2 8%
Nursing and Health Professions 1 4%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Immunology and Microbiology 1 4%
Other 1 4%
Unknown 16 64%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 02 August 2020.
All research outputs
#17,247,975
of 25,387,668 outputs
Outputs from Journal of Genetic Engineering and Biotechnology
#123
of 348 outputs
Outputs of similar age
#272,428
of 427,295 outputs
Outputs of similar age from Journal of Genetic Engineering and Biotechnology
#6
of 16 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one is in the 31st percentile – i.e., 31% of other outputs scored the same or lower than it.
So far Altmetric has tracked 348 research outputs from this source. They receive a mean Attention Score of 3.1. This one has gotten more attention than average, scoring higher than 64% 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 427,295 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.