| Title |
Quantitative ultrasound radiomics using texture derivatives in prediction of treatment response to neo-adjuvant chemotherapy for locally advanced breast cancer
|
|---|---|
| Published in |
Oncotarget, October 2020
|
| DOI | 10.18632/oncotarget.27742 |
| Pubmed ID | |
| Authors |
Archya Dasgupta, Stephen Brade, Lakshmanan Sannachi, Karina Quiaoit, Kashuf Fatima, Daniel DiCenzo, Laurentius O. Osapoetra, Murtuza Saifuddin, Maureen Trudeau, Sonal Gandhi, Andrea Eisen, Frances Wright, Nicole Look-Hong, Ali Sadeghi-Naini, William T. Tran, Belinda Curpen, Gregory J. Czarnota |
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 % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 27 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 22% |
| Student > Ph. D. Student | 3 | 11% |
| Unspecified | 2 | 7% |
| Student > Master | 2 | 7% |
| Professor | 1 | 4% |
| Other | 2 | 7% |
| Unknown | 11 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 3 | 11% |
| Unspecified | 2 | 7% |
| Medicine and Dentistry | 2 | 7% |
| Nursing and Health Professions | 1 | 4% |
| Agricultural and Biological Sciences | 1 | 4% |
| Other | 4 | 15% |
| Unknown | 14 | 52% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 04 November 2020.
All research outputs
#1,770,781
of 23,253,955 outputs
Outputs from Oncotarget
#767
of 14,380 outputs
Outputs of similar age
#48,489
of 419,536 outputs
Outputs of similar age from Oncotarget
#35
of 71 outputs
Altmetric has tracked 23,253,955 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,380 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. 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 419,536 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 88% of its contemporaries.
We're also able to compare this research output to 71 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.