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Molecular docking analysis reveals the functional inhibitory effect of Genistein and Quercetin on TMPRSS2: SARS-COV-2 cell entry facilitator spike protein

Overview of attention for article published in BMC Bioinformatics, May 2022
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  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
5 tweeters

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
19 Mendeley
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Title
Molecular docking analysis reveals the functional inhibitory effect of Genistein and Quercetin on TMPRSS2: SARS-COV-2 cell entry facilitator spike protein
Published in
BMC Bioinformatics, May 2022
DOI 10.1186/s12859-022-04724-9
Pubmed ID
Authors

Reji Manjunathan, Vijayalakshmi Periyaswami, Kartik Mitra, Arokiaraj Sherlin Rosita, Medha Pandya, Jayaraman Selvaraj, Lokesh Ravi, Nalini Devarajan, Mukesh Doble

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 3 16%
Student > Ph. D. Student 2 11%
Researcher 2 11%
Student > Doctoral Student 1 5%
Student > Bachelor 1 5%
Other 4 21%
Unknown 6 32%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 21%
Pharmacology, Toxicology and Pharmaceutical Science 2 11%
Nursing and Health Professions 2 11%
Veterinary Science and Veterinary Medicine 1 5%
Computer Science 1 5%
Other 2 11%
Unknown 7 37%

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 21 May 2022.
All research outputs
#14,040,063
of 22,500,788 outputs
Outputs from BMC Bioinformatics
#4,696
of 7,199 outputs
Outputs of similar age
#172,231
of 344,054 outputs
Outputs of similar age from BMC Bioinformatics
#5
of 6 outputs
Altmetric has tracked 22,500,788 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,199 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 30th percentile – i.e., 30% 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 344,054 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one.