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Urine cell-free microRNA as biomarkers for transitional cell carcinoma

Overview of attention for article published in BMC Research Notes, November 2017
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Title
Urine cell-free microRNA as biomarkers for transitional cell carcinoma
Published in
BMC Research Notes, November 2017
DOI 10.1186/s13104-017-2950-9
Pubmed ID
Authors

Gil A. Geva, Ilan Gielchinsky, Nina Aviv, Klaas E. A. Max, Ofer N. Gofrit, Devorah Gur-Wahnon, Iddo Z. Ben-Dov

Abstract

MicroRNA (miRNA) are short nucleotide strands with a regulatory function in the cell. Several miRNAs have been shown to be useful as biomarkers for different neoplasms. The aim of this project was to assess whether levels of miRNA in cell free urine could be used as a biomarker in transitional cell carcinoma (TCC). cDNA libraries were produced based on small RNAs in urine samples of fourteen TCC patients and twenty healthy volunteers. Resulting reads were deep sequenced on Illumina HiSeq sequencer with the intent of characterizing cell free urine miRNA profiles. A statistically significant difference was found for a single miRNA; miR-210 was > sixfold higher in the TCC group compared to the control group. Furthermore, we were able to produce a diagnostic score by summing of standardized levels of overexpressed miRNA. This score was considerably higher in TCC patients with a sensitivity of 0.93, specificity of 0.76 and negative predictive value > 0.97.

X Demographics

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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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 3 16%
Researcher 3 16%
Student > Ph. D. Student 3 16%
Lecturer > Senior Lecturer 2 11%
Student > Bachelor 2 11%
Other 2 11%
Unknown 4 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 26%
Medicine and Dentistry 5 26%
Agricultural and Biological Sciences 3 16%
Veterinary Science and Veterinary Medicine 1 5%
Unknown 5 26%
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 08 December 2017.
All research outputs
#14,086,058
of 23,011,300 outputs
Outputs from BMC Research Notes
#1,871
of 4,284 outputs
Outputs of similar age
#228,830
of 438,562 outputs
Outputs of similar age from BMC Research Notes
#65
of 175 outputs
Altmetric has tracked 23,011,300 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,284 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has gotten more attention than average, scoring higher than 54% 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 438,562 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 175 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.