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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Fusing hand-crafted and deep-learning features in a convolutional neural network model to identify prostate cancer in pathology images
|
|---|---|
| Published in |
Frontiers in oncology, September 2022
|
| DOI | 10.3389/fonc.2022.994950 |
| Pubmed ID | |
| Authors |
Xinrui Huang, Zhaotong Li, Minghui Zhang, Song Gao |
X Demographics
The data shown below were collected from the profiles of 3 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 | 1 | 33% |
| Switzerland | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 13 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer | 1 | 8% |
| Student > Ph. D. Student | 1 | 8% |
| Student > Master | 1 | 8% |
| Researcher | 1 | 8% |
| Student > Postgraduate | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 8 | 62% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 2 | 15% |
| Biochemistry, Genetics and Molecular Biology | 1 | 8% |
| Environmental Science | 1 | 8% |
| Nursing and Health Professions | 1 | 8% |
| Engineering | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 7 | 54% |
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 14 October 2022.
All research outputs
#19,961,193
of 25,392,582 outputs
Outputs from Frontiers in oncology
#9,332
of 22,436 outputs
Outputs of similar age
#303,451
of 436,448 outputs
Outputs of similar age from Frontiers in oncology
#789
of 1,734 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,436 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 49th percentile – i.e., 49% 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 436,448 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,734 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.