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Risk groups defined by Recursive Partitioning Analysis of patients with colorectal adenocarcinoma treated with colorectal resection

Overview of attention for article published in BMC Medical Research Methodology, January 2012
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
20 Mendeley
Title
Risk groups defined by Recursive Partitioning Analysis of patients with colorectal adenocarcinoma treated with colorectal resection
Published in
BMC Medical Research Methodology, January 2012
DOI 10.1186/1471-2288-12-2
Pubmed ID
Authors

Yun-Jau Chang, Li-Ju Chen, Yao-Jen Chang, Kuo-Piao Chung, Mei-Shu Lai

Abstract

To define different prognostic groups of surgical colorectal adenocarcinoma patients derived from recursive partitioning analysis (RPA).

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 25%
Student > Master 4 20%
Researcher 3 15%
Other 2 10%
Unknown 6 30%
Readers by discipline Count As %
Medicine and Dentistry 6 30%
Psychology 3 15%
Immunology and Microbiology 1 5%
Computer Science 1 5%
Mathematics 1 5%
Other 1 5%
Unknown 7 35%

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 19 January 2012.
All research outputs
#7,762,389
of 12,373,180 outputs
Outputs from BMC Medical Research Methodology
#779
of 1,095 outputs
Outputs of similar age
#117,223
of 223,448 outputs
Outputs of similar age from BMC Medical Research Methodology
#6
of 11 outputs
Altmetric has tracked 12,373,180 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,095 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one is in the 20th percentile – i.e., 20% 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 223,448 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.