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Systematic genomic identification of colorectal cancer genes delineating advanced from early clinical stage and metastasis

Overview of attention for article published in BMC Medical Genomics, December 2013
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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 (84th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

twitter
3 X users
patent
2 patents
wikipedia
1 Wikipedia page

Citations

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35 Dimensions

Readers on

mendeley
74 Mendeley
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Title
Systematic genomic identification of colorectal cancer genes delineating advanced from early clinical stage and metastasis
Published in
BMC Medical Genomics, December 2013
DOI 10.1186/1755-8794-6-54
Pubmed ID
Authors

HoJoon Lee, Patrick Flaherty, Hanlee P Ji

Abstract

Colorectal cancer is the third leading cause of cancer deaths in the United States. The initial assessment of colorectal cancer involves clinical staging that takes into account the extent of primary tumor invasion, determining the number of lymph nodes with metastatic cancer and the identification of metastatic sites in other organs. Advanced clinical stage indicates metastatic cancer, either in regional lymph nodes or in distant organs. While the genomic and genetic basis of colorectal cancer has been elucidated to some degree, less is known about the identity of specific cancer genes that are associated with advanced clinical stage and metastasis.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 5%
Hong Kong 1 1%
Netherlands 1 1%
Unknown 68 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 24%
Student > Master 12 16%
Researcher 10 14%
Student > Bachelor 6 8%
Professor > Associate Professor 6 8%
Other 15 20%
Unknown 7 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 29 39%
Biochemistry, Genetics and Molecular Biology 15 20%
Medicine and Dentistry 10 14%
Mathematics 4 5%
Computer Science 3 4%
Other 6 8%
Unknown 7 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 24 October 2023.
All research outputs
#4,550,267
of 25,205,261 outputs
Outputs from BMC Medical Genomics
#203
of 1,386 outputs
Outputs of similar age
#50,332
of 321,065 outputs
Outputs of similar age from BMC Medical Genomics
#4
of 19 outputs
Altmetric has tracked 25,205,261 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,386 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 85% 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 321,065 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.