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Advanced Computational Methodologies Used in the Discovery of New Natural Anticancer Compounds

Overview of attention for article published in Frontiers in Pharmacology, August 2021
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

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7 X users

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59 Mendeley
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Title
Advanced Computational Methodologies Used in the Discovery of New Natural Anticancer Compounds
Published in
Frontiers in Pharmacology, August 2021
DOI 10.3389/fphar.2021.702611
Pubmed ID
Authors

Vivek P. Chavda, Yavuz Nuri Ertas, Vinayak Walhekar, Dharti Modh, Avani Doshi, Nirav Shah, Krishna Anand, Mahesh Chhabria

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X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 59 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 17%
Researcher 7 12%
Unspecified 4 7%
Student > Doctoral Student 2 3%
Student > Bachelor 2 3%
Other 10 17%
Unknown 24 41%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 10 17%
Biochemistry, Genetics and Molecular Biology 10 17%
Unspecified 4 7%
Agricultural and Biological Sciences 3 5%
Chemistry 2 3%
Other 5 8%
Unknown 25 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 06 March 2023.
All research outputs
#7,398,521
of 26,526,880 outputs
Outputs from Frontiers in Pharmacology
#3,333
of 20,594 outputs
Outputs of similar age
#137,475
of 442,191 outputs
Outputs of similar age from Frontiers in Pharmacology
#153
of 978 outputs
Altmetric has tracked 26,526,880 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 20,594 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done well, scoring higher than 83% 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 442,191 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 978 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.