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Altered pathways and colorectal cancer prognosis

Overview of attention for article published in BMC Medicine, April 2015
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (74th percentile)

Mentioned by

twitter
10 tweeters
facebook
2 Facebook pages

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
29 Mendeley
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Title
Altered pathways and colorectal cancer prognosis
Published in
BMC Medicine, April 2015
DOI 10.1186/s12916-015-0307-6
Pubmed ID
Authors

Victor Moreno, Rebeca Sanz-Pamplona

Abstract

The identification of molecular markers with prognostic value in colorectal cancer is a challenging task that is needed to define therapeutic guidelines. Clinical factors are insufficient to identify those patients with stage II at risk of relapse or those patients with stage III at low risk. There is a current effort to define a consensus in molecular subtypes based on expression profiles, which are characterized by a distinctive prognostic outcome. Also several gene expression signatures based on individual genes have been proposed to predict prognosis, but they show low consistency and reproducibility. Slattery et al. describe a pathway-based approach to analyze gene expression differences between normal and colon cancer tissues. The most interesting finding is that having more deregulated pathways is associated with good prognosis. If these findings are properly validated, new insights into the mechanisms of colon carcinogenesis may be revealed.Please see related article: http://dx.doi.org/10.1186/s12916-015-0292-9 .

Twitter Demographics

The data shown below were collected from the profiles of 10 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 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 3%
Unknown 28 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 28%
Researcher 6 21%
Other 4 14%
Student > Ph. D. Student 4 14%
Student > Bachelor 3 10%
Other 3 10%
Unknown 1 3%
Readers by discipline Count As %
Medicine and Dentistry 8 28%
Biochemistry, Genetics and Molecular Biology 6 21%
Agricultural and Biological Sciences 5 17%
Pharmacology, Toxicology and Pharmaceutical Science 2 7%
Mathematics 1 3%
Other 4 14%
Unknown 3 10%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 14 March 2017.
All research outputs
#5,140,102
of 20,595,200 outputs
Outputs from BMC Medicine
#2,079
of 3,039 outputs
Outputs of similar age
#60,454
of 240,232 outputs
Outputs of similar age from BMC Medicine
#1
of 1 outputs
Altmetric has tracked 20,595,200 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 3,039 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.7. This one is in the 31st percentile – i.e., 31% 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 240,232 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them