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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Deep learning radiomic analysis of DCE-MRI combined with clinical characteristics predicts pathological complete response to neoadjuvant chemotherapy in breast cancer
|
|---|---|
| Published in |
Frontiers in oncology, January 2023
|
| DOI | 10.3389/fonc.2022.1041142 |
| Pubmed ID | |
| Authors |
Yuting Li, Yaheng Fan, Dinghua Xu, Yan Li, Zhangnan Zhong, Haoyu Pan, Bingsheng Huang, Xiaotong Xie, Yang Yang, Bihua Liu |
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 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 30 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 20% |
| Student > Doctoral Student | 2 | 7% |
| Student > Bachelor | 2 | 7% |
| Professor | 1 | 3% |
| Lecturer | 1 | 3% |
| Other | 2 | 7% |
| Unknown | 16 | 53% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 5 | 17% |
| Medicine and Dentistry | 3 | 10% |
| Computer Science | 2 | 7% |
| Physics and Astronomy | 2 | 7% |
| Linguistics | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 16 | 53% |
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 23 January 2023.
All research outputs
#20,591,909
of 26,180,771 outputs
Outputs from Frontiers in oncology
#9,615
of 22,919 outputs
Outputs of similar age
#342,523
of 486,145 outputs
Outputs of similar age from Frontiers in oncology
#737
of 1,459 outputs
Altmetric has tracked 26,180,771 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 22,919 research outputs from this source. They receive a mean Attention Score of 3.1. 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 486,145 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,459 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.