| Title |
Detection and grading of prostate cancer using temporal enhanced ultrasound: combining deep neural networks and tissue mimicking simulations
|
|---|---|
| Published in |
International Journal of Computer Assisted Radiology and Surgery, June 2017
|
| DOI | 10.1007/s11548-017-1627-0 |
| Pubmed ID | |
| Authors |
Shekoofeh Azizi, Sharareh Bayat, Pingkun Yan, Amir Tahmasebi, Guy Nir, Jin Tae Kwak, Sheng Xu, Storey Wilson, Kenneth A. Iczkowski, M. Scott Lucia, Larry Goldenberg, Septimiu E. Salcudean, Peter A. Pinto, Bradford Wood, Purang Abolmaesumi, Parvin Mousavi |
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 | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 79 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 12 | 15% |
| Student > Ph. D. Student | 11 | 14% |
| Researcher | 8 | 10% |
| Student > Bachelor | 4 | 5% |
| Student > Doctoral Student | 4 | 5% |
| Other | 12 | 15% |
| Unknown | 28 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 18 | 23% |
| Computer Science | 16 | 20% |
| Engineering | 6 | 8% |
| Agricultural and Biological Sciences | 3 | 4% |
| Psychology | 2 | 3% |
| Other | 5 | 6% |
| Unknown | 29 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 March 2024.
All research outputs
#3,366,557
of 25,508,813 outputs
Outputs from International Journal of Computer Assisted Radiology and Surgery
#29
of 970 outputs
Outputs of similar age
#59,101
of 330,337 outputs
Outputs of similar age from International Journal of Computer Assisted Radiology and Surgery
#1
of 18 outputs
Altmetric has tracked 25,508,813 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 970 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done particularly well, scoring higher than 97% 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 330,337 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 18 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.