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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Longitudinal dynamic contrast-enhanced MRI radiomic models for early prediction of response to neoadjuvant systemic therapy in triple-negative breast cancer
|
|---|---|
| Published in |
Frontiers in oncology, October 2023
|
| DOI | 10.3389/fonc.2023.1264259 |
| Pubmed ID | |
| Authors |
Bikash Panthi, Rania M. Mohamed, Beatriz E. Adrada, Medine Boge, Rosalind P. Candelaria, Huiqin Chen, Kelly K. Hunt, Lei Huo, Ken-Pin Hwang, Anil Korkut, Deanna L. Lane, Huong C. Le-Petross, Jessica W. T. Leung, Jennifer K. Litton, Sanaz Pashapoor, Frances Perez, Jong Bum Son, Jia Sun, Alastair Thompson, Debu Tripathy, Vicente Valero, Peng Wei, Jason White, Zhan Xu, Wei Yang, Zijian Zhou, Clinton Yam, Gaiane M. Rauch, Jingfei Ma |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 40% |
| Student > Postgraduate | 1 | 20% |
| Unknown | 2 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 1 | 20% |
| Unknown | 4 | 80% |
Attention Score in Context
This research output has an Altmetric Attention Score of 28. 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 15 November 2023.
All research outputs
#1,386,395
of 25,394,764 outputs
Outputs from Frontiers in oncology
#236
of 22,440 outputs
Outputs of similar age
#23,114
of 357,027 outputs
Outputs of similar age from Frontiers in oncology
#4
of 912 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 22,440 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done particularly well, scoring higher than 98% 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 357,027 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 912 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 99% of its contemporaries.