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Pluripotency transcription factors in the pathogenesis of colorectal cancer and implications for prognosis

Overview of attention for article published in Biomarkers in Medicine, March 2015
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2 X users

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22 Mendeley
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Article details
Title
Pluripotency transcription factors in the pathogenesis of colorectal cancer and implications for prognosis
Published in
Biomarkers in Medicine, March 2015
DOI 10.2217/bmm.15.4
Pubmed ID
Authors
Abstract

The cancer stem cell hypothesis argues that cancers depend on a specific type of cells, representing usually a small percentage of the total cancer cell population, termed cancer stem cells (or tumor-initiating cells) for their development and propagation. In colorectal cancer these cells express specific surface proteins such as CD133 and CD44 and can recapitulate the whole tumor. Besides expression of these surface markers, stem cells are associated with a network of pluripotency transcription factors, such as Oct4 and Sox2, which is present in them. Pluripotency factors are normally active in early development and characterize primitive cells, able to give rise to all different cell and tissue types of the three embryonic layers. In this review I will discuss the relationship of these factors with pathogenic lesions in colorectal cancer and their prognostic implications.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Iran, Islamic Republic of 1 5%
China 1 5%
Unknown 20 91%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 8 36%
Researcher 5 23%
Student > Bachelor 2 9%
Student > Master 2 9%
Professor 1 5%
Other 0 0%
Unknown 4 18%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 27%
Agricultural and Biological Sciences 3 14%
Medicine and Dentistry 3 14%
Nursing and Health Professions 2 9%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Other 0 0%
Unknown 7 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 January 2016.
All research outputs
#24,122,808
of 34,410,798 outputs
Outputs from Biomarkers in Medicine
#418
of 768 outputs
Outputs of similar age
#199,460
of 306,056 outputs
Outputs of similar age from Biomarkers in Medicine
#10
of 13 outputs
Altmetric has tracked 34,410,798 research outputs across all sources so far. This one is in the 28th percentile – i.e., 28% of other outputs scored the same or lower than it.
So far Altmetric has tracked 768 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 44th percentile – i.e., 44% 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 306,056 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.