| Title |
Cross-Dataset Evaluation of Deep Learning Networks for Uterine Cervix Segmentation
|
|---|---|
| Published in |
Diagnostics, January 2020
|
| DOI | 10.3390/diagnostics10010044 |
| Pubmed ID | |
| Authors |
Peng Guo, Zhiyun Xue, L Rodney Long, Sameer Antani |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 32 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 13% |
| Lecturer | 3 | 9% |
| Researcher | 3 | 9% |
| Student > Ph. D. Student | 3 | 9% |
| Student > Bachelor | 2 | 6% |
| Other | 4 | 13% |
| Unknown | 13 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 10 | 31% |
| Engineering | 3 | 9% |
| Mathematics | 1 | 3% |
| Environmental Science | 1 | 3% |
| Immunology and Microbiology | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 15 | 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 18 January 2020.
All research outputs
#18,707,884
of 23,186,937 outputs
Outputs from Diagnostics
#2,685
of 4,660 outputs
Outputs of similar age
#334,972
of 456,833 outputs
Outputs of similar age from Diagnostics
#53
of 150 outputs
Altmetric has tracked 23,186,937 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,660 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 20th percentile – i.e., 20% 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 456,833 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 150 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 55% of its contemporaries.