| Title |
CT evaluation of extranodal extension of cervical lymph node metastases in patients with oral squamous cell carcinoma using deep learning classification
|
|---|---|
| Published in |
Oral Radiology, June 2019
|
| DOI | 10.1007/s11282-019-00391-4 |
| Pubmed ID | |
| Authors |
Yoshiko Ariji, Yoshihiko Sugita, Toru Nagao, Atsushi Nakayama, Motoki Fukuda, Yoshitaka Kise, Michihito Nozawa, Masako Nishiyama, Akitoshi Katumata, Eiichiro Ariji |
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 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 75 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 13 | 17% |
| Other | 5 | 7% |
| Researcher | 3 | 4% |
| Student > Bachelor | 3 | 4% |
| Student > Postgraduate | 3 | 4% |
| Other | 12 | 16% |
| Unknown | 36 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 23 | 31% |
| Computer Science | 7 | 9% |
| Business, Management and Accounting | 1 | 1% |
| Nursing and Health Professions | 1 | 1% |
| Biochemistry, Genetics and Molecular Biology | 1 | 1% |
| Other | 4 | 5% |
| Unknown | 38 | 51% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 15 June 2019.
All research outputs
#23,196,437
of 25,837,817 outputs
Outputs from Oral Radiology
#65
of 101 outputs
Outputs of similar age
#320,896
of 369,818 outputs
Outputs of similar age from Oral Radiology
#1
of 1 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 101 research outputs from this source. They receive a mean Attention Score of 1.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 369,818 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them