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Cerebral Micro-Bleeding Detection Based on Densely Connected Neural Network

Overview of attention for article published in Frontiers in Neuroscience, May 2019
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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5 X users

Citations

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78 Dimensions

Readers on

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53 Mendeley
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Title
Cerebral Micro-Bleeding Detection Based on Densely Connected Neural Network
Published in
Frontiers in Neuroscience, May 2019
DOI 10.3389/fnins.2019.00422
Pubmed ID
Authors

Shuihua Wang, Chaosheng Tang, Junding Sun, Yudong Zhang

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 53 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 15%
Student > Bachelor 6 11%
Student > Ph. D. Student 6 11%
Student > Doctoral Student 5 9%
Researcher 3 6%
Other 7 13%
Unknown 18 34%
Readers by discipline Count As %
Computer Science 11 21%
Medicine and Dentistry 5 9%
Neuroscience 5 9%
Nursing and Health Professions 3 6%
Engineering 3 6%
Other 4 8%
Unknown 22 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 20 April 2022.
All research outputs
#15,197,962
of 25,806,763 outputs
Outputs from Frontiers in Neuroscience
#6,219
of 11,715 outputs
Outputs of similar age
#187,047
of 366,721 outputs
Outputs of similar age from Frontiers in Neuroscience
#154
of 321 outputs
Altmetric has tracked 25,806,763 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,715 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one is in the 45th percentile – i.e., 45% 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 366,721 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 321 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.