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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Mass Detection and Segmentation in Digital Breast Tomosynthesis Using 3D-Mask Region-Based Convolutional Neural Network: A Comparative Analysis
|
|---|---|
| Published in |
Frontiers in Molecular Biosciences, November 2020
|
| DOI | 10.3389/fmolb.2020.599333 |
| Pubmed ID | |
| Authors |
Ming Fan, Huizhong Zheng, Shuo Zheng, Chao You, Yajia Gu, Xin Gao, Weijun Peng, Lihua Li |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 44 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 5 | 11% |
| Student > Doctoral Student | 3 | 7% |
| Student > Master | 3 | 7% |
| Student > Postgraduate | 3 | 7% |
| Student > Ph. D. Student | 3 | 7% |
| Other | 6 | 14% |
| Unknown | 21 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 12 | 27% |
| Engineering | 6 | 14% |
| Medicine and Dentistry | 4 | 9% |
| Mathematics | 1 | 2% |
| Unknown | 21 | 48% |
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 22 April 2021.
All research outputs
#7,349,361
of 23,905,714 outputs
Outputs from Frontiers in Molecular Biosciences
#719
of 4,198 outputs
Outputs of similar age
#155,186
of 417,936 outputs
Outputs of similar age from Frontiers in Molecular Biosciences
#33
of 168 outputs
Altmetric has tracked 23,905,714 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 4,198 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done well, scoring higher than 82% 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 417,936 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 62% of its contemporaries.
We're also able to compare this research output to 168 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.