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Circulating MACC1 Transcripts in Colorectal Cancer Patient Plasma Predict Metastasis and Prognosis

Overview of attention for article published in PLOS ONE, November 2012
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Title
Circulating MACC1 Transcripts in Colorectal Cancer Patient Plasma Predict Metastasis and Prognosis
Published in
PLOS ONE, November 2012
DOI 10.1371/journal.pone.0049249
Pubmed ID
Authors

Ulrike Stein, Susen Burock, Pia Herrmann, Ina Wendler, Markus Niederstrasser, Klaus-Dieter Wernecke, Peter M. Schlag

Abstract

Metastasis is the most frequent cause of treatment failure and death in colorectal cancer. Early detection of tumors and metastases is crucial for improving treatment strategies and patient outcome. Development of reliable biomarkers and simple tests routinely applicable in the clinic for detection, prognostication, and therapy monitoring is of special interest. We recently identified the novel gene Metastasis-Associated in Colon Cancer 1 (MACC1), a key regulator of the HGF/Met-pathway. MACC1 is a strong prognostic biomarker for colon cancer metastasis and allows identification of high-risk subjects in early stages, when determined in patients' primary tumors. To overcome the limitation of a restricted number of molecular analyses in tumor tissue, the establishment of a non-invasive blood test for early identification of high-risk cancer patients, for monitoring disease course and therapy response is strongly needed.

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X Demographics

The data shown below were collected from the profile of 1 X user 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 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 2%
Austria 1 2%
South Africa 1 2%
Japan 1 2%
United States 1 2%
Unknown 60 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 26%
Researcher 16 25%
Student > Master 8 12%
Other 4 6%
Student > Bachelor 3 5%
Other 9 14%
Unknown 8 12%
Readers by discipline Count As %
Medicine and Dentistry 16 25%
Agricultural and Biological Sciences 16 25%
Biochemistry, Genetics and Molecular Biology 11 17%
Nursing and Health Professions 3 5%
Engineering 3 5%
Other 7 11%
Unknown 9 14%
Attention Score in Context

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 16 November 2012.
All research outputs
#18,320,524
of 22,685,926 outputs
Outputs from PLOS ONE
#153,900
of 193,650 outputs
Outputs of similar age
#136,283
of 179,003 outputs
Outputs of similar age from PLOS ONE
#3,463
of 4,728 outputs
Altmetric has tracked 22,685,926 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 193,650 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one is in the 10th percentile – i.e., 10% 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 179,003 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4,728 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.