| Title |
Hello World Deep Learning in Medical Imaging
|
|---|---|
| Published in |
Journal of Digital Imaging, May 2018
|
| DOI | 10.1007/s10278-018-0079-6 |
| Pubmed ID | |
| Authors |
Paras Lakhani, Daniel L. Gray, Carl R. Pett, Paul Nagy, George Shih |
X Demographics
The data shown below were collected from the profiles of 49 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 | 19 | 39% |
| India | 2 | 4% |
| Cyprus | 1 | 2% |
| Netherlands | 1 | 2% |
| Austria | 1 | 2% |
| Canada | 1 | 2% |
| United Kingdom | 1 | 2% |
| Mexico | 1 | 2% |
| Switzerland | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 19 | 39% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 29 | 59% |
| Scientists | 12 | 24% |
| Practitioners (doctors, other healthcare professionals) | 8 | 16% |
Mendeley readers
The data shown below were compiled from readership statistics for 276 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 276 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 38 | 14% |
| Student > Master | 35 | 13% |
| Student > Ph. D. Student | 34 | 12% |
| Student > Bachelor | 25 | 9% |
| Student > Doctoral Student | 18 | 7% |
| Other | 48 | 17% |
| Unknown | 78 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 52 | 19% |
| Medicine and Dentistry | 48 | 17% |
| Engineering | 33 | 12% |
| Physics and Astronomy | 14 | 5% |
| Biochemistry, Genetics and Molecular Biology | 5 | 2% |
| Other | 32 | 12% |
| Unknown | 92 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 30. 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 10 January 2021.
All research outputs
#1,325,675
of 25,393,528 outputs
Outputs from Journal of Digital Imaging
#16
of 1,143 outputs
Outputs of similar age
#28,479
of 339,013 outputs
Outputs of similar age from Journal of Digital Imaging
#2
of 32 outputs
Altmetric has tracked 25,393,528 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 1,143 research outputs from this source. They receive a mean Attention Score of 4.7. 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 339,013 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 91% of its contemporaries.
We're also able to compare this research output to 32 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 96% of its contemporaries.