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X Demographics
Mendeley readers
Attention Score in Context
| Title |
CT-based deep learning radiomics signature for the preoperative prediction of the muscle-invasive status of bladder cancer
|
|---|---|
| Published in |
Frontiers in oncology, December 2022
|
| DOI | 10.3389/fonc.2022.1019749 |
| Pubmed ID | |
| Authors |
Weitian Chen, Mancheng Gong, Dongsheng Zhou, Lijie Zhang, Jie Kong, Feng Jiang, Shengxing Feng, Runqiang Yuan |
X Demographics
The data shown below were collected from the profiles of 4 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 | 25% |
| Switzerland | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 7 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 1 | 14% |
| Researcher | 1 | 14% |
| Other | 1 | 14% |
| Student > Doctoral Student | 1 | 14% |
| Unknown | 3 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 1 | 14% |
| Biochemistry, Genetics and Molecular Biology | 1 | 14% |
| Medicine and Dentistry | 1 | 14% |
| Unknown | 4 | 57% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 December 2022.
All research outputs
#15,588,766
of 25,478,886 outputs
Outputs from Frontiers in oncology
#4,898
of 22,568 outputs
Outputs of similar age
#219,445
of 484,417 outputs
Outputs of similar age from Frontiers in oncology
#312
of 1,492 outputs
Altmetric has tracked 25,478,886 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,568 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done well, scoring higher than 77% 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 484,417 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 53% of its contemporaries.
We're also able to compare this research output to 1,492 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.