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Prognostic models to predict overall and cause-specific survival for patients with middle ear cancer: a population-based analysis

Overview of attention for article published in BMC Cancer, August 2014
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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2 X users

Citations

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20 Dimensions

Readers on

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12 Mendeley
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Title
Prognostic models to predict overall and cause-specific survival for patients with middle ear cancer: a population-based analysis
Published in
BMC Cancer, August 2014
DOI 10.1186/1471-2407-14-554
Pubmed ID
Authors

Weidong Shen, Naoko Sakamoto, Limin Yang

Abstract

The purpose of this study was to evaluate the survival outcome for middle ear cancer and to construct prognostic models to provide patients and clinicians with more accurate estimates of individual survival probability.

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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 25%
Other 2 17%
Unspecified 1 8%
Student > Bachelor 1 8%
Researcher 1 8%
Other 2 17%
Unknown 2 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 17%
Medicine and Dentistry 2 17%
Mathematics 1 8%
Unspecified 1 8%
Social Sciences 1 8%
Other 1 8%
Unknown 4 33%
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 01 August 2014.
All research outputs
#15,303,385
of 22,759,618 outputs
Outputs from BMC Cancer
#4,106
of 8,277 outputs
Outputs of similar age
#132,712
of 229,519 outputs
Outputs of similar age from BMC Cancer
#64
of 140 outputs
Altmetric has tracked 22,759,618 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,277 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 40th percentile – i.e., 40% 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 229,519 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 140 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.