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Predicting Transdermal Fentanyl Delivery Using Mechanistic Simulations for Tailored Therapy

Overview of attention for article published in Frontiers in Pharmacology, September 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (60th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

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4 X users

Citations

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20 Dimensions

Readers on

mendeley
53 Mendeley
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Title
Predicting Transdermal Fentanyl Delivery Using Mechanistic Simulations for Tailored Therapy
Published in
Frontiers in Pharmacology, September 2020
DOI 10.3389/fphar.2020.585393
Pubmed ID
Authors

Thijs Defraeye, Flora Bahrami, Lu Ding, Riccardo Innocenti Malini, Alexandre Terrier, René M. Rossi

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 53 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 13%
Researcher 5 9%
Student > Ph. D. Student 5 9%
Student > Doctoral Student 3 6%
Other 3 6%
Other 9 17%
Unknown 21 40%
Readers by discipline Count As %
Engineering 7 13%
Nursing and Health Professions 3 6%
Biochemistry, Genetics and Molecular Biology 3 6%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Social Sciences 2 4%
Other 14 26%
Unknown 22 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 20 August 2022.
All research outputs
#7,500,672
of 23,577,654 outputs
Outputs from Frontiers in Pharmacology
#3,248
of 17,181 outputs
Outputs of similar age
#161,553
of 413,216 outputs
Outputs of similar age from Frontiers in Pharmacology
#94
of 407 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 17,181 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one has done well, scoring higher than 80% 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 413,216 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 60% of its contemporaries.
We're also able to compare this research output to 407 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.