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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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  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
3 tweeters

Citations

dimensions_citation
30 Dimensions

Readers on

mendeley
39 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.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Unknown 38 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 28%
Student > Master 7 18%
Researcher 7 18%
Other 4 10%
Student > Bachelor 3 8%
Other 5 13%
Unknown 2 5%
Readers by discipline Count As %
Medicine and Dentistry 12 31%
Computer Science 7 18%
Agricultural and Biological Sciences 5 13%
Biochemistry, Genetics and Molecular Biology 3 8%
Engineering 2 5%
Other 4 10%
Unknown 6 15%

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
#7,480,382
of 12,409,138 outputs
Outputs from BMC Medical Informatics and Decision Making
#743
of 1,122 outputs
Outputs of similar age
#132,577
of 259,167 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#115
of 158 outputs
Altmetric has tracked 12,409,138 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,122 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 30th percentile – i.e., 30% 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 259,167 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 158 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.