The data shown below were collected from the profile of 1 X user 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.
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Timeline
X Demographics
Mendeley readers
Attention Score in Context
Title |
Dilated Dense U-Net for Infant Hippocampus Subfield Segmentation
|
---|---|
Published in |
Frontiers in Neuroinformatics, April 2019
|
DOI | 10.3389/fninf.2019.00030 |
Pubmed ID | |
Authors |
Hancan Zhu, Feng Shi, Li Wang, Sheng-Che Hung, Meng-Hsiang Chen, Shuai Wang, Weili Lin, Dinggang Shen |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Netherlands | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 57 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 9 | 16% |
Student > Master | 8 | 14% |
Researcher | 6 | 11% |
Student > Doctoral Student | 5 | 9% |
Professor | 3 | 5% |
Other | 7 | 12% |
Unknown | 19 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 10 | 18% |
Engineering | 6 | 11% |
Medicine and Dentistry | 5 | 9% |
Neuroscience | 4 | 7% |
Physics and Astronomy | 2 | 4% |
Other | 3 | 5% |
Unknown | 27 | 47% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 10 May 2019.
All research outputs
#20,569,780
of 23,146,350 outputs
Outputs from Frontiers in Neuroinformatics
#688
of 759 outputs
Outputs of similar age
#299,721
of 350,145 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#21
of 26 outputs
Altmetric has tracked 23,146,350 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
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 is in the 1st percentile – i.e., 1% 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 350,145 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.