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Machine learning application for prediction of locoregional recurrences in early oral tongue cancer: a Web-based prognostic tool

Overview of attention for article published in Virchows Archiv, August 2019
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

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2 X users

Citations

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74 Dimensions

Readers on

mendeley
96 Mendeley
Title
Machine learning application for prediction of locoregional recurrences in early oral tongue cancer: a Web-based prognostic tool
Published in
Virchows Archiv, August 2019
DOI 10.1007/s00428-019-02642-5
Pubmed ID
Authors

Rasheed Omobolaji Alabi, Mohammed Elmusrati, Iris Sawazaki-Calone, Luiz Paulo Kowalski, Caj Haglund, Ricardo D. Coletta, Antti A. Mäkitie, Tuula Salo, Ilmo Leivo, Alhadi Almangush

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 96 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 9%
Student > Ph. D. Student 7 7%
Student > Bachelor 7 7%
Researcher 6 6%
Professor > Associate Professor 5 5%
Other 25 26%
Unknown 37 39%
Readers by discipline Count As %
Medicine and Dentistry 20 21%
Computer Science 8 8%
Unspecified 5 5%
Agricultural and Biological Sciences 4 4%
Biochemistry, Genetics and Molecular Biology 3 3%
Other 13 14%
Unknown 43 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 22 August 2019.
All research outputs
#17,345,186
of 26,017,215 outputs
Outputs from Virchows Archiv
#1,498
of 2,330 outputs
Outputs of similar age
#218,079
of 357,117 outputs
Outputs of similar age from Virchows Archiv
#13
of 18 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 31st percentile – i.e., 31% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,330 research outputs from this source. They receive a mean Attention Score of 4.2. This one is in the 31st percentile – i.e., 31% 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 357,117 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.