You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Serum microRNAs as biomarkers for recurrence in melanoma
|
|---|---|
| Published in |
Journal of Translational Medicine, August 2012
|
| DOI | 10.1186/1479-5876-10-155 |
| Pubmed ID | |
| Authors |
Erica B Friedman, Shulian Shang, Eleazar Vega-Saenz de Miera, Jacob Ulrik Fog, Maria Wrang Teilum, Michelle W Ma, Russell S Berman, Richard L Shapiro, Anna C Pavlick, Eva Hernando, Adam Baker, Yongzhao Shao, Iman Osman |
| Abstract |
Identification of melanoma patients at high risk for recurrence and monitoring for recurrence are critical for informed management decisions. We hypothesized that serum microRNAs (miRNAs) could provide prognostic information at the time of diagnosis unaccounted for by the current staging system and could be useful in detecting recurrence after resection. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Australia | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Denmark | 3 | 3% |
| United States | 2 | 2% |
| Iran, Islamic Republic of | 1 | 1% |
| Unknown | 85 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 27 | 30% |
| Student > Ph. D. Student | 14 | 15% |
| Other | 9 | 10% |
| Student > Master | 9 | 10% |
| Student > Doctoral Student | 7 | 8% |
| Other | 16 | 18% |
| Unknown | 9 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 29 | 32% |
| Medicine and Dentistry | 16 | 18% |
| Biochemistry, Genetics and Molecular Biology | 13 | 14% |
| Immunology and Microbiology | 4 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 3% |
| Other | 12 | 13% |
| Unknown | 14 | 15% |
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 04 October 2012.
All research outputs
#15,248,503
of 22,673,450 outputs
Outputs from Journal of Translational Medicine
#2,218
of 3,955 outputs
Outputs of similar age
#104,584
of 164,813 outputs
Outputs of similar age from Journal of Translational Medicine
#34
of 58 outputs
Altmetric has tracked 22,673,450 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,955 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 31st percentile – i.e., 31% 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 164,813 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.