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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Pretreatment DCE-MRI-Based Deep Learning Outperforms Radiomics Analysis in Predicting Pathologic Complete Response to Neoadjuvant Chemotherapy in Breast Cancer
|
|---|---|
| Published in |
Frontiers in oncology, March 2022
|
| DOI | 10.3389/fonc.2022.846775 |
| Pubmed ID | |
| Authors |
Yunsong Peng, Ziliang Cheng, Chang Gong, Chushan Zheng, Xiang Zhang, Zhuo Wu, Yaping Yang, Xiaodong Yang, Jian Zheng, Jun Shen |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 52 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 15 | 29% |
| Student > Ph. D. Student | 9 | 17% |
| Researcher | 4 | 8% |
| Student > Postgraduate | 2 | 4% |
| Student > Master | 2 | 4% |
| Other | 2 | 4% |
| Unknown | 18 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 15 | 29% |
| Engineering | 5 | 10% |
| Computer Science | 4 | 8% |
| Medicine and Dentistry | 3 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 23 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 03 April 2022.
All research outputs
#3,772,476
of 26,166,431 outputs
Outputs from Frontiers in oncology
#1,229
of 22,913 outputs
Outputs of similar age
#84,171
of 452,136 outputs
Outputs of similar age from Frontiers in oncology
#79
of 1,519 outputs
Altmetric has tracked 26,166,431 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 22,913 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done particularly well, scoring higher than 94% 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 452,136 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 1,519 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.