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MicroRNAs as promising biomarkers in cancer diagnostics

Overview of attention for article published in Biomarker Research, October 2014
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4 X users

Citations

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82 Dimensions

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118 Mendeley
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Title
MicroRNAs as promising biomarkers in cancer diagnostics
Published in
Biomarker Research, October 2014
DOI 10.1186/2050-7771-2-19
Pubmed ID
Authors

Prasun J Mishra

Abstract

Cumulating data suggest that small noncoding-RNAs such as microRNAs (miRNAs) can be utilized as potential biomarkers for the diagnosis and prognosis of a variety of diseases such as cancer, neurological disorders, cardiovascular disease and Type-II diabetes, etc. MiRNAs can be utilized not only for monitoring of treatments but also for patient stratifications. The Tenth Annual miRNA as Biomarkers and Diagnostics conference, 2014, organized in Boston, MA, was primarily focused on recent advancements in the field of miRNA in the early detection of disease, monitoring tumor growth/progression and its potential for precision medicine. This article summarizes findings presented in the miRNA biomarker as cancer diagnostics session. The overarching projections from this and other sessions were that miRNAs are now well established as regulators of tumorigenesis and can be utilized not only as potential biomarkers for the diagnosis and prognosis of a disease but also are useful in patient stratifications and treatment response.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Mexico 1 <1%
United States 1 <1%
Belgium 1 <1%
Unknown 114 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 20%
Student > Master 23 19%
Student > Ph. D. Student 17 14%
Student > Bachelor 12 10%
Other 7 6%
Other 20 17%
Unknown 15 13%
Readers by discipline Count As %
Medicine and Dentistry 33 28%
Agricultural and Biological Sciences 25 21%
Biochemistry, Genetics and Molecular Biology 22 19%
Pharmacology, Toxicology and Pharmaceutical Science 3 3%
Chemistry 3 3%
Other 10 8%
Unknown 22 19%
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 31 October 2014.
All research outputs
#14,203,052
of 22,768,097 outputs
Outputs from Biomarker Research
#130
of 310 outputs
Outputs of similar age
#134,989
of 260,345 outputs
Outputs of similar age from Biomarker Research
#2
of 4 outputs
Altmetric has tracked 22,768,097 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 310 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 53% 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 260,345 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.