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Mendeley readers
Attention Score in Context
| Title |
Circulating microRNAs as biomarkers - True Blood?
|
|---|---|
| Published in |
Genome Medicine, November 2011
|
| DOI | 10.1186/gm288 |
| Pubmed ID | |
| Authors |
Nathalie Schöler, Christian Langer, Florian Kuchenbauer |
| Abstract |
MicroRNAs are post-transcriptional regulators that are involved in many physiological and pathophysiological conditions. A recent study compared the expression profiles of hundreds of blood-borne microRNAs across a variety of nonmalignant and malignant diseases to identify disease-specific expression patterns. The resulting microRNA expression data could be used to discriminate disease samples with a high level of accuracy, demonstrating the potential for using microRNA signatures for the blood-based diagnosis of disease. |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 3% |
| Unknown | 33 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 18% |
| Researcher | 5 | 15% |
| Student > Bachelor | 3 | 9% |
| Student > Postgraduate | 3 | 9% |
| Student > Master | 3 | 9% |
| Other | 7 | 21% |
| Unknown | 7 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 11 | 32% |
| Biochemistry, Genetics and Molecular Biology | 7 | 21% |
| Medicine and Dentistry | 3 | 9% |
| Mathematics | 1 | 3% |
| Veterinary Science and Veterinary Medicine | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 9 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 2011.
All research outputs
#5,422,599
of 25,373,627 outputs
Outputs from Genome Medicine
#995
of 1,585 outputs
Outputs of similar age
#42,019
of 245,312 outputs
Outputs of similar age from Genome Medicine
#10
of 19 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,585 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.8. This one is in the 35th percentile – i.e., 35% 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 245,312 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.