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Improving the Predictions of Computational Models of Convection-Enhanced Drug Delivery by Accounting for Diffusion Non-gaussianity

Overview of attention for article published in Frontiers in Neurology, December 2018
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

Mentioned by

twitter
3 X users
facebook
1 Facebook page

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
21 Mendeley
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Title
Improving the Predictions of Computational Models of Convection-Enhanced Drug Delivery by Accounting for Diffusion Non-gaussianity
Published in
Frontiers in Neurology, December 2018
DOI 10.3389/fneur.2018.01092
Pubmed ID
Authors

Eirini Messaritaki, Suryanarayana Umesh Rudrapatna, Greg D. Parker, William P. Gray, Derek K. Jones

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.
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 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 29%
Student > Doctoral Student 3 14%
Student > Bachelor 2 10%
Student > Ph. D. Student 2 10%
Student > Master 2 10%
Other 1 5%
Unknown 5 24%
Readers by discipline Count As %
Neuroscience 6 29%
Medicine and Dentistry 5 24%
Engineering 3 14%
Physics and Astronomy 2 10%
Psychology 1 5%
Other 0 0%
Unknown 4 19%
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 23 December 2018.
All research outputs
#14,736,910
of 23,597,497 outputs
Outputs from Frontiers in Neurology
#6,014
of 12,558 outputs
Outputs of similar age
#237,779
of 438,010 outputs
Outputs of similar age from Frontiers in Neurology
#135
of 313 outputs
Altmetric has tracked 23,597,497 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 12,558 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.5. This one is in the 49th percentile – i.e., 49% 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 438,010 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 313 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 53% of its contemporaries.