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Generative Model of Brain Microbleeds for MRI Detection of Vascular Marker of Neurodegenerative Diseases

Overview of attention for article published in Frontiers in Neuroscience, December 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

news
1 news outlet
twitter
2 X users

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
19 Mendeley
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Title
Generative Model of Brain Microbleeds for MRI Detection of Vascular Marker of Neurodegenerative Diseases
Published in
Frontiers in Neuroscience, December 2021
DOI 10.3389/fnins.2021.778767
Pubmed ID
Authors

Saba Momeni, Amir Fazlollahi, Leo Lebrat, Paul Yates, Christopher Rowe, Yongsheng Gao, Alan Wee-Chung Liew, Olivier Salvado

Timeline

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

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 16%
Student > Master 3 16%
Student > Bachelor 2 11%
Student > Doctoral Student 1 5%
Student > Ph. D. Student 1 5%
Other 0 0%
Unknown 9 47%
Readers by discipline Count As %
Engineering 3 16%
Computer Science 2 11%
Physics and Astronomy 1 5%
Nursing and Health Professions 1 5%
Neuroscience 1 5%
Other 1 5%
Unknown 10 53%
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 07 January 2022.
All research outputs
#3,527,480
of 25,392,582 outputs
Outputs from Frontiers in Neuroscience
#2,706
of 11,543 outputs
Outputs of similar age
#80,108
of 512,443 outputs
Outputs of similar age from Frontiers in Neuroscience
#60
of 361 outputs
Altmetric has tracked 25,392,582 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 11,543 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has done well, scoring higher than 75% 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 512,443 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 84% of its contemporaries.
We're also able to compare this research output to 361 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.