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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Circulating miR-378 and miR-451 in serum are potential biomarkers for renal cell carcinoma
|
|---|---|
| Published in |
Journal of Translational Medicine, March 2012
|
| DOI | 10.1186/1479-5876-10-55 |
| Pubmed ID | |
| Authors |
Martina Redova, Alexandr Poprach, Jana Nekvindova, Robert Iliev, Lenka Radova, Radek Lakomy, Marek Svoboda, Rostislav Vyzula, Ondrej Slaby |
| Abstract |
There is no standard serum biomarker used for diagnosis or early detection of recurrence for renal cell carcinoma (RCC) patients. MicroRNAs (miRNAs) are abundant and highly stable in blood serum, and have been recently described as powerful circulating biomarkers in a wide range of solid cancers. Our aim was to identify miRNA signature that can distinguish the blood serum of RCC patients and matched healthy controls and validate identified miRNAs as potential biomarkers for RCC. |
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 % |
|---|---|---|
| United States | 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 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 99 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 20 | 20% |
| Student > Ph. D. Student | 15 | 15% |
| Student > Doctoral Student | 14 | 14% |
| Student > Master | 10 | 10% |
| Student > Bachelor | 7 | 7% |
| Other | 20 | 20% |
| Unknown | 13 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 34 | 34% |
| Medicine and Dentistry | 20 | 20% |
| Biochemistry, Genetics and Molecular Biology | 10 | 10% |
| Neuroscience | 3 | 3% |
| Environmental Science | 2 | 2% |
| Other | 9 | 9% |
| Unknown | 21 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 28 February 2013.
All research outputs
#6,912,149
of 22,665,794 outputs
Outputs from Journal of Translational Medicine
#1,078
of 3,954 outputs
Outputs of similar age
#47,312
of 160,675 outputs
Outputs of similar age from Journal of Translational Medicine
#17
of 50 outputs
Altmetric has tracked 22,665,794 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 3,954 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has gotten more attention than average, scoring higher than 71% 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 160,675 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 68% of its contemporaries.
We're also able to compare this research output to 50 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 62% of its contemporaries.