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Anti-HIV reverse transcriptase plant polyphenolic natural products with in silico inhibitory properties on seven non-structural proteins vital in SARS-CoV-2 pathogenesis

Overview of attention for article published in Journal of Genetic Engineering and Biotechnology, July 2021
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

twitter
3 X users

Citations

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23 Dimensions

Readers on

mendeley
58 Mendeley
Title
Anti-HIV reverse transcriptase plant polyphenolic natural products with in silico inhibitory properties on seven non-structural proteins vital in SARS-CoV-2 pathogenesis
Published in
Journal of Genetic Engineering and Biotechnology, July 2021
DOI 10.1186/s43141-021-00206-2
Pubmed ID
Authors

Von Novi O. de Leon, Joe Anthony H. Manzano, Delfin Yñigo H. Pilapil, Rey Arturo T. Fernandez, James Kyle Anthony R. Ching, Mark Tristan J. Quimque, Jay Carl M. Agbay, Kin Israel R. Notarte, Allan Patrick G. Macabeo

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 58 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 9 16%
Student > Master 6 10%
Researcher 4 7%
Other 4 7%
Student > Ph. D. Student 4 7%
Other 8 14%
Unknown 23 40%
Readers by discipline Count As %
Chemistry 8 14%
Medicine and Dentistry 7 12%
Biochemistry, Genetics and Molecular Biology 6 10%
Agricultural and Biological Sciences 3 5%
Nursing and Health Professions 2 3%
Other 7 12%
Unknown 25 43%
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 08 August 2023.
All research outputs
#15,751,285
of 25,392,582 outputs
Outputs from Journal of Genetic Engineering and Biotechnology
#83
of 348 outputs
Outputs of similar age
#228,269
of 445,857 outputs
Outputs of similar age from Journal of Genetic Engineering and Biotechnology
#6
of 24 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% 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 73% 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 445,857 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 24 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 66% of its contemporaries.