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Predicting the distribution of serotonergic axons: a supercomputing simulation of reflected fractional Brownian motion in a 3D-mouse brain model

Overview of attention for article published in Frontiers in Computational Neuroscience, May 2023
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
2 Mendeley
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Title
Predicting the distribution of serotonergic axons: a supercomputing simulation of reflected fractional Brownian motion in a 3D-mouse brain model
Published in
Frontiers in Computational Neuroscience, May 2023
DOI 10.3389/fncom.2023.1189853
Pubmed ID
Authors

Skirmantas Janušonis, Justin H. Haiman, Ralf Metzler, Thomas Vojta

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 50%
Researcher 1 50%
Readers by discipline Count As %
Psychology 1 50%
Neuroscience 1 50%
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 06 June 2023.
All research outputs
#14,678,636
of 23,947,581 outputs
Outputs from Frontiers in Computational Neuroscience
#645
of 1,388 outputs
Outputs of similar age
#120,998
of 276,805 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#4
of 12 outputs
Altmetric has tracked 23,947,581 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,388 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. 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 276,805 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 54% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.