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Computer-aided identification of natural lead compounds as cyclooxygenase-2 inhibitors using virtual screening and molecular dynamic simulation

Overview of attention for article published in Computational Biology & Chemistry, July 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

peer_reviews
1 peer review site

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
31 Mendeley
citeulike
1 CiteULike
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Title
Computer-aided identification of natural lead compounds as cyclooxygenase-2 inhibitors using virtual screening and molecular dynamic simulation
Published in
Computational Biology & Chemistry, July 2018
DOI 10.1016/j.compbiolchem.2018.07.005
Pubmed ID
Authors

Mourad Ounissi, Abdelkrim Kameli, Chafia Tigrine, Fatma Zohra Rachedi

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 16%
Student > Doctoral Student 4 13%
Student > Ph. D. Student 4 13%
Student > Master 3 10%
Lecturer 2 6%
Other 4 13%
Unknown 9 29%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 5 16%
Chemistry 5 16%
Biochemistry, Genetics and Molecular Biology 2 6%
Nursing and Health Professions 1 3%
Agricultural and Biological Sciences 1 3%
Other 5 16%
Unknown 12 39%
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 13 November 2019.
All research outputs
#17,292,294
of 25,385,509 outputs
Outputs from Computational Biology & Chemistry
#463
of 882 outputs
Outputs of similar age
#221,382
of 341,350 outputs
Outputs of similar age from Computational Biology & Chemistry
#5
of 19 outputs
Altmetric has tracked 25,385,509 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 882 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 37th percentile – i.e., 37% 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 341,350 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 19 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 63% of its contemporaries.