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X Demographics
Mendeley readers
Attention Score in Context
Title |
An Automatic Estimation of Arterial Input Function Based on Multi-Stream 3D CNN
|
---|---|
Published in |
Frontiers in Neuroinformatics, July 2019
|
DOI | 10.3389/fninf.2019.00049 |
Pubmed ID | |
Authors |
Shengyu Fan, Yueyan Bian, Erling Wang, Yan Kang, Danny J. J. Wang, Qi Yang, Xunming Ji |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
Canada | 1 | 50% |
Switzerland | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 29 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 9 | 31% |
Researcher | 3 | 10% |
Other | 2 | 7% |
Student > Bachelor | 2 | 7% |
Student > Postgraduate | 2 | 7% |
Other | 3 | 10% |
Unknown | 8 | 28% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 6 | 21% |
Computer Science | 3 | 10% |
Nursing and Health Professions | 2 | 7% |
Unspecified | 2 | 7% |
Medicine and Dentistry | 2 | 7% |
Other | 4 | 14% |
Unknown | 10 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 18 November 2021.
All research outputs
#4,185,710
of 23,151,828 outputs
Outputs from Frontiers in Neuroinformatics
#220
of 759 outputs
Outputs of similar age
#83,409
of 347,684 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#3
of 21 outputs
Altmetric has tracked 23,151,828 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 759 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one has gotten more attention than average, scoring higher than 70% 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 347,684 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 75% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.