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A multiscale and multiparametric approach for modeling the progression of oral cancer

Overview of attention for article published in BMC Medical Informatics and Decision Making, November 2012
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3 X users

Citations

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35 Dimensions

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46 Mendeley
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Title
A multiscale and multiparametric approach for modeling the progression of oral cancer
Published in
BMC Medical Informatics and Decision Making, November 2012
DOI 10.1186/1472-6947-12-136
Pubmed ID
Authors

Konstantinos P Exarchos, Yorgos Goletsis, Dimitrios I Fotiadis

Abstract

In this work, we propose a multilevel and multiparametric approach in order to model the growth and progression of oral squamous cell carcinoma (OSCC) after remission. OSCC constitutes the major neoplasm of the head and neck region, exhibiting a quite aggressive nature, often leading to unfavorable prognosis.

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X Demographics

The data shown below were collected from the profiles of 3 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 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Unknown 45 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 28%
Researcher 7 15%
Student > Master 6 13%
Student > Bachelor 4 9%
Other 4 9%
Other 7 15%
Unknown 5 11%
Readers by discipline Count As %
Medicine and Dentistry 13 28%
Computer Science 7 15%
Agricultural and Biological Sciences 5 11%
Engineering 3 7%
Mathematics 2 4%
Other 7 15%
Unknown 9 20%
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 25 November 2012.
All research outputs
#14,738,780
of 22,687,320 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,225
of 1,979 outputs
Outputs of similar age
#172,369
of 275,925 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#28
of 40 outputs
Altmetric has tracked 22,687,320 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,979 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 34th percentile – i.e., 34% 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 275,925 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.