Title |
Application of deep learning to the diagnosis of cervical lymph node metastasis from thyroid cancer with CT
|
---|---|
Published in |
European Radiology, March 2019
|
DOI | 10.1007/s00330-019-06098-8 |
Pubmed ID | |
Authors |
Jeong Hoon Lee, Eun Ju Ha, Ju Han Kim |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Netherlands | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 91 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 10 | 11% |
Student > Bachelor | 9 | 10% |
Researcher | 9 | 10% |
Student > Doctoral Student | 8 | 9% |
Student > Ph. D. Student | 5 | 5% |
Other | 7 | 8% |
Unknown | 43 | 47% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 17 | 19% |
Computer Science | 11 | 12% |
Engineering | 4 | 4% |
Biochemistry, Genetics and Molecular Biology | 3 | 3% |
Business, Management and Accounting | 2 | 2% |
Other | 6 | 7% |
Unknown | 48 | 53% |
Attention Score in Context
This research output has an Altmetric Attention Score of 25. 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 October 2023.
All research outputs
#1,502,226
of 25,002,811 outputs
Outputs from European Radiology
#94
of 4,830 outputs
Outputs of similar age
#34,261
of 358,046 outputs
Outputs of similar age from European Radiology
#5
of 111 outputs
Altmetric has tracked 25,002,811 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,830 research outputs from this source. They receive a mean Attention Score of 4.6. 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 358,046 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 111 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.