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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 (91st percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

blogs
1 blog
twitter
5 X users
patent
1 patent

Citations

dimensions_citation
99 Dimensions

Readers on

mendeley
106 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
Authors

Farshad Farshidfar, Aalim M Weljie, Karen Kopciuk, W Don Buie, Anthony MacLean, Elijah Dixon, Francis R Sutherland, Andrea Molckovsky, Hans J Vogel, Oliver F Bathe

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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 3 3%
Denmark 2 2%
France 1 <1%
United States 1 <1%
Unknown 99 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 25 24%
Student > Ph. D. Student 24 23%
Student > Master 15 14%
Other 5 5%
Professor > Associate Professor 4 4%
Other 16 15%
Unknown 17 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 28 26%
Medicine and Dentistry 18 17%
Biochemistry, Genetics and Molecular Biology 16 15%
Chemistry 8 8%
Engineering 4 4%
Other 6 6%
Unknown 26 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 03 February 2022.
All research outputs
#2,537,018
of 25,373,627 outputs
Outputs from Genome Medicine
#573
of 1,585 outputs
Outputs of similar age
#15,433
of 176,567 outputs
Outputs of similar age from Genome Medicine
#4
of 24 outputs
Altmetric has tracked 25,373,627 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 1,585 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.8. This one has gotten more attention than average, scoring higher than 63% 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 176,567 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 91% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.