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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Convolutional neural network for automated mass segmentation in mammography
|
|---|---|
| Published in |
BMC Bioinformatics, December 2020
|
| DOI | 10.1186/s12859-020-3521-y |
| Pubmed ID | |
| Authors |
Dina Abdelhafiz, Jinbo Bi, Reda Ammar, Clifford Yang, Sheida Nabavi |
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 % |
|---|---|---|
| United States | 1 | 20% |
| Netherlands | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 86 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 9% |
| Researcher | 6 | 7% |
| Student > Ph. D. Student | 6 | 7% |
| Student > Bachelor | 5 | 6% |
| Other | 4 | 5% |
| Other | 16 | 19% |
| Unknown | 41 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 13 | 15% |
| Engineering | 10 | 12% |
| Medicine and Dentistry | 6 | 7% |
| Unspecified | 3 | 3% |
| Agricultural and Biological Sciences | 1 | 1% |
| Other | 8 | 9% |
| Unknown | 45 | 52% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 06 April 2021.
All research outputs
#13,626,805
of 23,511,526 outputs
Outputs from BMC Bioinformatics
#4,088
of 7,405 outputs
Outputs of similar age
#238,651
of 509,698 outputs
Outputs of similar age from BMC Bioinformatics
#80
of 149 outputs
Altmetric has tracked 23,511,526 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,405 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 42nd percentile – i.e., 42% 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 509,698 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 52% of its contemporaries.
We're also able to compare this research output to 149 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.