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The Application of Data Mining Techniques to Oral Cancer Prognosis

Overview of attention for article published in Journal of Medical Systems, March 2015
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Mentioned by

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1 X user

Citations

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69 Dimensions

Readers on

mendeley
95 Mendeley
Title
The Application of Data Mining Techniques to Oral Cancer Prognosis
Published in
Journal of Medical Systems, March 2015
DOI 10.1007/s10916-015-0241-3
Pubmed ID
Authors

Wan-Ting Tseng, Wei-Fan Chiang, Shyun-Yeu Liu, Jinsheng Roan, Chun-Nan Lin

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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Turkey 1 1%
Unknown 94 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 18%
Student > Master 13 14%
Student > Bachelor 6 6%
Student > Doctoral Student 5 5%
Researcher 4 4%
Other 16 17%
Unknown 34 36%
Readers by discipline Count As %
Medicine and Dentistry 17 18%
Computer Science 15 16%
Agricultural and Biological Sciences 5 5%
Engineering 4 4%
Psychology 3 3%
Other 10 11%
Unknown 41 43%
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 23 March 2015.
All research outputs
#23,196,437
of 25,837,817 outputs
Outputs from Journal of Medical Systems
#1,127
of 1,284 outputs
Outputs of similar age
#240,181
of 279,016 outputs
Outputs of similar age from Journal of Medical Systems
#19
of 24 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 1,284 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. 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 279,016 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 24 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.