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Mendeley readers
Attention Score in Context
| Title |
Characterization of the Melanoma miRNAome by Deep Sequencing
|
|---|---|
| Published in |
PLOS ONE, March 2010
|
| DOI | 10.1371/journal.pone.0009685 |
| Pubmed ID | |
| Authors |
Mitchell S. Stark, Sonika Tyagi, Derek J. Nancarrow, Glen M. Boyle, Anthony L. Cook, David C. Whiteman, Peter G. Parsons, Christopher Schmidt, Richard A. Sturm, Nicholas K. Hayward |
| Abstract |
MicroRNAs (miRNAs) are 18-23 nucleotide non-coding RNAs that regulate gene expression in a sequence specific manner. Little is known about the repertoire and function of miRNAs in melanoma or the melanocytic lineage. We therefore undertook a comprehensive analysis of the miRNAome in a diverse range of pigment cells including: melanoblasts, melanocytes, congenital nevocytes, acral, mucosal, cutaneous and uveal melanoma cells. |
Mendeley readers
The data shown below were compiled from readership statistics for 247 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 3% |
| France | 2 | <1% |
| Spain | 2 | <1% |
| United Kingdom | 2 | <1% |
| Australia | 1 | <1% |
| New Zealand | 1 | <1% |
| Sudan | 1 | <1% |
| Belgium | 1 | <1% |
| Italy | 1 | <1% |
| Other | 2 | <1% |
| Unknown | 227 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 70 | 28% |
| Student > Ph. D. Student | 69 | 28% |
| Student > Master | 29 | 12% |
| Professor > Associate Professor | 11 | 4% |
| Student > Bachelor | 11 | 4% |
| Other | 33 | 13% |
| Unknown | 24 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 136 | 55% |
| Biochemistry, Genetics and Molecular Biology | 32 | 13% |
| Medicine and Dentistry | 27 | 11% |
| Computer Science | 9 | 4% |
| Neuroscience | 3 | 1% |
| Other | 11 | 4% |
| Unknown | 29 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 18 January 2021.
All research outputs
#1,983,474
of 22,649,029 outputs
Outputs from PLOS ONE
#25,515
of 193,361 outputs
Outputs of similar age
#7,399
of 93,726 outputs
Outputs of similar age from PLOS ONE
#119
of 662 outputs
Altmetric has tracked 22,649,029 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 193,361 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has done well, scoring higher than 86% 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 93,726 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 662 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.