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Serum metabolomic profile as a means to distinguish stage of colorectal cancer

Overview of attention for article published in Genome Medicine, May 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

blogs
1 blog
twitter
6 tweeters

Citations

dimensions_citation
70 Dimensions

Readers on

mendeley
72 Mendeley
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Title
Serum metabolomic profile as a means to distinguish stage of colorectal cancer
Published in
Genome Medicine, May 2012
DOI 10.1186/gm341
Pubmed ID
Abstract

Presently, colorectal cancer (CRC) is staged preoperatively by radiographic tests, and postoperatively by pathological evaluation of available surgical specimens. However, present staging methods do not accurately identify occult metastases. This has a direct effect on clinical management. Early identification of metastases isolated to the liver may enable surgical resection, whereas more disseminated disease may be best treated with palliative chemotherapy.

Twitter Demographics

The data shown below were collected from the profiles of 6 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 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 3 4%
Denmark 2 3%
France 1 1%
United States 1 1%
Unknown 65 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 26%
Researcher 19 26%
Student > Master 11 15%
Other 5 7%
Professor > Associate Professor 4 6%
Other 11 15%
Unknown 3 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 26 36%
Medicine and Dentistry 13 18%
Biochemistry, Genetics and Molecular Biology 10 14%
Chemistry 6 8%
Engineering 3 4%
Other 3 4%
Unknown 11 15%

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 20 June 2012.
All research outputs
#1,225,824
of 12,621,268 outputs
Outputs from Genome Medicine
#358
of 914 outputs
Outputs of similar age
#11,311
of 119,731 outputs
Outputs of similar age from Genome Medicine
#5
of 22 outputs
Altmetric has tracked 12,621,268 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 914 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.8. This one has gotten more attention than average, scoring higher than 60% of its peers.
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 119,731 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.