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Universal disease biomarker: can a fixed set of blood microRNAs diagnose multiple diseases?

Overview of attention for article published in BMC Research Notes, August 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

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2 X users
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1 patent

Citations

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32 Dimensions

Readers on

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18 Mendeley
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Title
Universal disease biomarker: can a fixed set of blood microRNAs diagnose multiple diseases?
Published in
BMC Research Notes, August 2014
DOI 10.1186/1756-0500-7-581
Pubmed ID
Authors

Y-h Taguchi, Yoshiki Murakami

Abstract

The selection of disease biomarkers is often difficult because of their unstable identification, i.e., the selection of biomarkers is heavily dependent upon the set of samples analyzed and the use of independent sets of samples often results in a completely different set of biomarkers being identified. However, if a fixed set of disease biomarkers could be identified for the diagnosis of multiple diseases, the difficulties of biomarker selection could be reduced.

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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Russia 1 6%
Ireland 1 6%
Unknown 16 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 28%
Student > Bachelor 3 17%
Student > Master 3 17%
Professor 2 11%
Student > Ph. D. Student 2 11%
Other 0 0%
Unknown 3 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 22%
Biochemistry, Genetics and Molecular Biology 3 17%
Pharmacology, Toxicology and Pharmaceutical Science 2 11%
Computer Science 2 11%
Medicine and Dentistry 2 11%
Other 1 6%
Unknown 4 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 12 August 2020.
All research outputs
#6,223,501
of 22,761,738 outputs
Outputs from BMC Research Notes
#945
of 4,262 outputs
Outputs of similar age
#60,799
of 236,046 outputs
Outputs of similar age from BMC Research Notes
#31
of 135 outputs
Altmetric has tracked 22,761,738 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 4,262 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done well, scoring higher than 77% 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 236,046 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 135 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.