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Circulating MicroRNAs as Minimally Invasive Biomarkers for Cancer Theragnosis and Prognosis

Overview of attention for article published in Frontiers in Genetics, January 2011
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  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

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1 X user
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1 peer review site

Citations

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55 Dimensions

Readers on

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62 Mendeley
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Title
Circulating MicroRNAs as Minimally Invasive Biomarkers for Cancer Theragnosis and Prognosis
Published in
Frontiers in Genetics, January 2011
DOI 10.3389/fgene.2011.00007
Pubmed ID
Authors

William C. S. Cho

Abstract

Novel cancer biomarker discovery is urgently needed for cancer theragnosis and prognosis, and among the many possible types of samples, blood is regarded to be ideal for this discovery as it can be collected easily in a minimally invasive manner. Results of the past few years have ascertained the quantification of microRNA (miRNA) as a promising approach for the detection and prognostication of cancer. Indeed, an increasing number of studies have shown that circulating cancer-associated miRNAs are readily measured in plasma or serum and they can robustly discriminate cancer patients from healthy controls, as well as distinguishing between good-prognosis and poor-prognosis patients. Furthermore, recent findings also suggest the potential of circulating miRNAs in the screening, monitoring, and treatment of cancer. This article summarizes the most significant and latest discoveries of original researches on circulating miRNAs involvement in cancer, focusing on the potential of circulating miRNAs as minimally invasive biomarkers for cancer theragnosis and prognosis.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 61 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 23%
Student > Ph. D. Student 9 15%
Student > Master 7 11%
Student > Bachelor 6 10%
Professor 6 10%
Other 13 21%
Unknown 7 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 40%
Biochemistry, Genetics and Molecular Biology 11 18%
Medicine and Dentistry 9 15%
Engineering 2 3%
Chemistry 2 3%
Other 4 6%
Unknown 9 15%
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 15 February 2012.
All research outputs
#13,360,185
of 22,663,150 outputs
Outputs from Frontiers in Genetics
#3,224
of 11,727 outputs
Outputs of similar age
#133,018
of 180,280 outputs
Outputs of similar age from Frontiers in Genetics
#21
of 58 outputs
Altmetric has tracked 22,663,150 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,727 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 70% 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 180,280 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 58 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 60% of its contemporaries.