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Computational Modeling of Interstitial Fluid Pressure and Velocity in Non-small Cell Lung Cancer Brain Metastases Treated With Stereotactic Radiosurgery

Overview of attention for article published in Frontiers in Neurology, May 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

news
1 news outlet
twitter
2 X users

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
17 Mendeley
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Title
Computational Modeling of Interstitial Fluid Pressure and Velocity in Non-small Cell Lung Cancer Brain Metastases Treated With Stereotactic Radiosurgery
Published in
Frontiers in Neurology, May 2020
DOI 10.3389/fneur.2020.00402
Pubmed ID
Authors

Nathaniel Swinburne, Eve LoCastro, Ramesh Paudyal, Jung Hun Oh, Neil K. Taunk, Akash Shah, Kathryn Beal, Behroze Vachha, Robert J. Young, Andrei I. Holodny, Amita Shukla-Dave, Vaios Hatzoglou

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 24%
Student > Bachelor 2 12%
Student > Master 2 12%
Researcher 2 12%
Professor 1 6%
Other 2 12%
Unknown 4 24%
Readers by discipline Count As %
Medicine and Dentistry 5 29%
Engineering 3 18%
Business, Management and Accounting 1 6%
Unknown 8 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 30 May 2020.
All research outputs
#3,190,206
of 23,211,181 outputs
Outputs from Frontiers in Neurology
#2,423
of 12,134 outputs
Outputs of similar age
#83,588
of 395,701 outputs
Outputs of similar age from Frontiers in Neurology
#221
of 393 outputs
Altmetric has tracked 23,211,181 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,134 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one has done well, scoring higher than 78% 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 395,701 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 393 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.