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CT evaluation of extranodal extension of cervical lymph node metastases in patients with oral squamous cell carcinoma using deep learning classification

Overview of attention for article published in Oral Radiology, June 2019
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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

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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
#11,741,224
of 13,226,239 outputs
Outputs from Oral Radiology
#15
of 20 outputs
Outputs of similar age
#174,129
of 211,190 outputs
Outputs of similar age from Oral Radiology
#3
of 3 outputs
Altmetric has tracked 13,226,239 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 20 research outputs from this source. They receive a mean Attention Score of 1.8. This one scored the same or higher as 5 of them.
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 211,190 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 3 others from the same source and published within six weeks on either side of this one.