| Title |
Beyond Human Perception: Sexual Dimorphism in Hand and Wrist Radiographs Is Discernible by a Deep Learning Model
|
|---|---|
| Published in |
Journal of Digital Imaging, November 2018
|
| DOI | 10.1007/s10278-018-0148-x |
| Pubmed ID | |
| Authors |
Sehyo Yune, Hyunkwang Lee, Myeongchan Kim, Shahein H. Tajmir, Michael S. Gee, Synho Do |
X Demographics
The data shown below were collected from the profiles of 284 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 | 40 | 14% |
| United Kingdom | 18 | 6% |
| Spain | 14 | 5% |
| Canada | 7 | 2% |
| Argentina | 3 | 1% |
| Venezuela, Bolivarian Republic of | 2 | <1% |
| Ecuador | 2 | <1% |
| Netherlands | 2 | <1% |
| Germany | 2 | <1% |
| Other | 21 | 7% |
| Unknown | 173 | 61% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 261 | 92% |
| Scientists | 12 | 4% |
| Practitioners (doctors, other healthcare professionals) | 6 | 2% |
| Science communicators (journalists, bloggers, editors) | 5 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 67 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 9 | 13% |
| Student > Ph. D. Student | 8 | 12% |
| Researcher | 5 | 7% |
| Student > Doctoral Student | 4 | 6% |
| Other | 4 | 6% |
| Other | 12 | 18% |
| Unknown | 25 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 15 | 22% |
| Computer Science | 6 | 9% |
| Nursing and Health Professions | 5 | 7% |
| Agricultural and Biological Sciences | 3 | 4% |
| Psychology | 3 | 4% |
| Other | 8 | 12% |
| Unknown | 27 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 205. 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 29 February 2024.
All research outputs
#195,574
of 25,782,229 outputs
Outputs from Journal of Digital Imaging
#2
of 981 outputs
Outputs of similar age
#3,910
of 448,766 outputs
Outputs of similar age from Journal of Digital Imaging
#1
of 27 outputs
Altmetric has tracked 25,782,229 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 981 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done particularly well, scoring higher than 99% 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 448,766 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 99% of its contemporaries.
We're also able to compare this research output to 27 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.