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Timeline
X Demographics
Mendeley readers
Attention Score in Context
Title |
BI-RADS Reading of Non-Mass Lesions on DCE-MRI and Differential Diagnosis Performed by Radiomics and Deep Learning
|
---|---|
Published in |
Frontiers in oncology, November 2021
|
DOI | 10.3389/fonc.2021.728224 |
Pubmed ID | |
Authors |
Jiejie Zhou, Yan-Lin Liu, Yang Zhang, Jeon-Hor Chen, Freddie J. Combs, Ritesh Parajuli, Rita S. Mehta, Huiru Liu, Zhongwei Chen, Youfan Zhao, Zhifang Pan, Meihao Wang, Risheng Yu, Min-Ying Su |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Netherlands | 1 | 17% |
United States | 1 | 17% |
Unknown | 4 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 67% |
Practitioners (doctors, other healthcare professionals) | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 26 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 5 | 19% |
Student > Ph. D. Student | 3 | 12% |
Unspecified | 2 | 8% |
Researcher | 2 | 8% |
Student > Postgraduate | 2 | 8% |
Other | 3 | 12% |
Unknown | 9 | 35% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 7 | 27% |
Computer Science | 3 | 12% |
Nursing and Health Professions | 2 | 8% |
Unspecified | 2 | 8% |
Engineering | 2 | 8% |
Other | 0 | 0% |
Unknown | 10 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 21 November 2021.
All research outputs
#8,207,277
of 26,178,577 outputs
Outputs from Frontiers in oncology
#2,973
of 22,922 outputs
Outputs of similar age
#154,066
of 448,162 outputs
Outputs of similar age from Frontiers in oncology
#145
of 1,488 outputs
Altmetric has tracked 26,178,577 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 22,922 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done well, scoring higher than 86% 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 448,162 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 1,488 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.