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Machine learning to predict occult nodal metastasis in early oral squamous cell carcinoma

Overview of attention for article published in Oral Oncology, March 2019
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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1 X user

Readers on

mendeley
172 Mendeley
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Article details
Title
Machine learning to predict occult nodal metastasis in early oral squamous cell carcinoma
Published in
Oral Oncology, March 2019
DOI 10.1016/j.oraloncology.2019.03.011
Pubmed ID
Authors

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

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.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 172 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 172 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 16 9%
Researcher 16 9%
Student > Ph. D. Student 15 9%
Student > Bachelor 12 7%
Student > Doctoral Student 11 6%
Other 25 15%
Unknown 77 45%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 45 26%
Computer Science 13 8%
Biochemistry, Genetics and Molecular Biology 10 6%
Business, Management and Accounting 4 2%
Agricultural and Biological Sciences 4 2%
Other 15 9%
Unknown 81 47%
Attention Score in Context

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 08 April 2019.
All research outputs
#17,932,284
of 26,017,215 outputs
Outputs from Oral Oncology
#1,378
of 2,066 outputs
Outputs of similar age
#239,657
of 369,555 outputs
Outputs of similar age from Oral Oncology
#20
of 36 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,066 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 26th percentile – i.e., 26% 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 369,555 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.