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Mendeley readers
Attention Score in Context
Title |
Analysis of organ-enriched microRNAs in plasma as an approach to development of Universal Screening Test: feasibility study
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Published in |
Journal of Translational Medicine, December 2013
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DOI | 10.1186/1479-5876-11-304 |
Pubmed ID | |
Authors |
Kira S Sheinerman, Vladimir G Tsivinsky, Samuil R Umansky |
Abstract |
Early disease detection with a minimally invasive screening test will significantly increase effectiveness and decrease the cost of treatment. Here we propose a framework of a novel approach - Universal Screening Test (UST) for the detection of pathological processes in a particular organ system, organ, or tissue by RT-qPCR analysis of circulating cell-free miRNAs in plasma. As the first step towards assessing the feasibility of this concept, the present study was designed to analyze whether the same microRNAs (miRNAs) can detect various diseases of a particular organ system. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Russia | 1 | 2% |
Denmark | 1 | 2% |
Unknown | 61 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 12 | 19% |
Researcher | 11 | 17% |
Student > Master | 9 | 14% |
Student > Bachelor | 6 | 10% |
Student > Doctoral Student | 3 | 5% |
Other | 9 | 14% |
Unknown | 13 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 16 | 25% |
Agricultural and Biological Sciences | 15 | 24% |
Biochemistry, Genetics and Molecular Biology | 6 | 10% |
Computer Science | 2 | 3% |
Engineering | 2 | 3% |
Other | 6 | 10% |
Unknown | 16 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 December 2013.
All research outputs
#20,213,623
of 22,736,112 outputs
Outputs from Journal of Translational Medicine
#3,303
of 3,974 outputs
Outputs of similar age
#267,066
of 307,039 outputs
Outputs of similar age from Journal of Translational Medicine
#79
of 115 outputs
Altmetric has tracked 22,736,112 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,974 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one is in the 1st percentile – i.e., 1% 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 307,039 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 115 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.