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X Demographics
Mendeley readers
Attention Score in Context
Title |
Diagnosis of architectural distortion on digital breast tomosynthesis using radiomics and deep learning
|
---|---|
Published in |
Frontiers in oncology, December 2022
|
DOI | 10.3389/fonc.2022.991892 |
Pubmed ID | |
Authors |
Xiao Chen, Yang Zhang, Jiahuan Zhou, Xiao Wang, Xinmiao Liu, Ke Nie, Xiaomin Lin, Wenwen He, Min-Ying Su, Guoquan Cao, Meihao Wang |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
Netherlands | 2 | 40% |
Switzerland | 1 | 20% |
Unknown | 2 | 40% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 60% |
Scientists | 1 | 20% |
Practitioners (doctors, other healthcare professionals) | 1 | 20% |
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 % |
---|---|---|
Student > Ph. D. Student | 3 | 16% |
Researcher | 3 | 16% |
Student > Bachelor | 1 | 5% |
Student > Master | 1 | 5% |
Student > Doctoral Student | 1 | 5% |
Other | 0 | 0% |
Unknown | 10 | 53% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 4 | 21% |
Medicine and Dentistry | 3 | 16% |
Neuroscience | 1 | 5% |
Biochemistry, Genetics and Molecular Biology | 1 | 5% |
Unknown | 10 | 53% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 30 December 2022.
All research outputs
#16,598,004
of 26,180,771 outputs
Outputs from Frontiers in oncology
#5,844
of 22,919 outputs
Outputs of similar age
#243,403
of 492,053 outputs
Outputs of similar age from Frontiers in oncology
#410
of 1,480 outputs
Altmetric has tracked 26,180,771 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,919 research outputs from this source. They receive a mean Attention Score of 3.1. 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 492,053 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,480 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 66% of its contemporaries.