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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Automated Classification of Papillary Renal Cell Carcinoma and Chromophobe Renal Cell Carcinoma Based on a Small Computed Tomography Imaging Dataset Using Deep Learning
|
|---|---|
| Published in |
Frontiers in oncology, November 2021
|
| DOI | 10.3389/fonc.2021.746750 |
| Pubmed ID | |
| Authors |
Teng Zuo, Yanhua Zheng, Lingfeng He, Tao Chen, Bin Zheng, Song Zheng, Jinghang You, Xiaoyan Li, Rong Liu, Junjie Bai, Shuxin Si, Yingying Wang, Shuyi Zhang, Lili Wang, Jianhui Chen |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 14% |
| Student > Bachelor | 2 | 14% |
| Unspecified | 1 | 7% |
| Lecturer > Senior Lecturer | 1 | 7% |
| Student > Master | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 6 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 29% |
| Unspecified | 1 | 7% |
| Veterinary Science and Veterinary Medicine | 1 | 7% |
| Biochemistry, Genetics and Molecular Biology | 1 | 7% |
| Engineering | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 6 | 43% |
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 November 2021.
All research outputs
#23,091,342
of 25,738,558 outputs
Outputs from Frontiers in oncology
#16,243
of 22,771 outputs
Outputs of similar age
#443,150
of 517,656 outputs
Outputs of similar age from Frontiers in oncology
#836
of 1,352 outputs
Altmetric has tracked 25,738,558 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,771 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 1st percentile – i.e., 1% 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 517,656 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,352 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.