| Title |
Toward Automatic Detection of Radiation-Induced Cerebral Microbleeds Using a 3D Deep Residual Network
|
|---|---|
| Published in |
Journal of Digital Imaging, December 2018
|
| DOI | 10.1007/s10278-018-0146-z |
| Pubmed ID | |
| Authors |
Yicheng Chen, Javier E. Villanueva-Meyer, Melanie A. Morrison, Janine M. Lupo |
X Demographics
The data shown below were collected from the profiles of 6 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 | 3 | 50% |
| Netherlands | 1 | 17% |
| Canada | 1 | 17% |
| Unknown | 1 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 33% |
| Practitioners (doctors, other healthcare professionals) | 2 | 33% |
| Scientists | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 38 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 21% |
| Student > Ph. D. Student | 5 | 13% |
| Researcher | 3 | 8% |
| Other | 3 | 8% |
| Student > Doctoral Student | 2 | 5% |
| Other | 4 | 11% |
| Unknown | 13 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 24% |
| Computer Science | 5 | 13% |
| Engineering | 4 | 11% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 5% |
| Neuroscience | 2 | 5% |
| Other | 3 | 8% |
| Unknown | 13 | 34% |
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 07 March 2023.
All research outputs
#1,986,216
of 25,420,980 outputs
Outputs from Journal of Digital Imaging
#37
of 1,145 outputs
Outputs of similar age
#44,147
of 445,409 outputs
Outputs of similar age from Journal of Digital Imaging
#4
of 23 outputs
Altmetric has tracked 25,420,980 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 1,145 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 96% 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 445,409 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 90% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.