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The Stroke Neuro-Imaging Phenotype Repository: An Open Data Science Platform for Stroke Research

Overview of attention for article published in Frontiers in Neuroinformatics, June 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

twitter
5 X users

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
51 Mendeley
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Title
The Stroke Neuro-Imaging Phenotype Repository: An Open Data Science Platform for Stroke Research
Published in
Frontiers in Neuroinformatics, June 2021
DOI 10.3389/fninf.2021.597708
Pubmed ID
Authors

Hossein Mohammadian Foroushani, Rajat Dhar, Yasheng Chen, Jenny Gurney, Ali Hamzehloo, Jin-Moo Lee, Daniel S. Marcus

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 10%
Researcher 5 10%
Student > Bachelor 4 8%
Student > Doctoral Student 3 6%
Lecturer 3 6%
Other 7 14%
Unknown 24 47%
Readers by discipline Count As %
Medicine and Dentistry 6 12%
Biochemistry, Genetics and Molecular Biology 3 6%
Engineering 3 6%
Business, Management and Accounting 3 6%
Computer Science 2 4%
Other 8 16%
Unknown 26 51%
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 25 June 2021.
All research outputs
#7,408,286
of 23,508,125 outputs
Outputs from Frontiers in Neuroinformatics
#351
of 772 outputs
Outputs of similar age
#155,014
of 444,746 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#6
of 19 outputs
Altmetric has tracked 23,508,125 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 772 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one has gotten more attention than average, scoring higher than 53% 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 444,746 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 64% of its contemporaries.
We're also able to compare this research output to 19 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 73% of its contemporaries.