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Mendeley readers
Attention Score in Context
| Title |
Accurate microRNA target prediction correlates with protein repression levels
|
|---|---|
| Published in |
BMC Bioinformatics, September 2009
|
| DOI | 10.1186/1471-2105-10-295 |
| Pubmed ID | |
| Authors |
Manolis Maragkakis, Panagiotis Alexiou, Giorgio L Papadopoulos, Martin Reczko, Theodore Dalamagas, George Giannopoulos, George Goumas, Evangelos Koukis, Kornilios Kourtis, Victor A Simossis, Praveen Sethupathy, Thanasis Vergoulis, Nectarios Koziris, Timos Sellis, Panagiotis Tsanakas, Artemis G Hatzigeorgiou |
| Abstract |
MicroRNAs are small endogenously expressed non-coding RNA molecules that regulate target gene expression through translation repression or messenger RNA degradation. MicroRNA regulation is performed through pairing of the microRNA to sites in the messenger RNA of protein coding genes. Since experimental identification of miRNA target genes poses difficulties, computational microRNA target prediction is one of the key means in deciphering the role of microRNAs in development and disease. |
Mendeley readers
The data shown below were compiled from readership statistics for 237 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 4 | 2% |
| United States | 4 | 2% |
| China | 3 | 1% |
| Italy | 3 | 1% |
| Malaysia | 2 | <1% |
| Switzerland | 2 | <1% |
| Mexico | 2 | <1% |
| Hong Kong | 1 | <1% |
| Austria | 1 | <1% |
| Other | 8 | 3% |
| Unknown | 207 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 70 | 30% |
| Researcher | 59 | 25% |
| Student > Master | 29 | 12% |
| Student > Doctoral Student | 17 | 7% |
| Professor > Associate Professor | 17 | 7% |
| Other | 32 | 14% |
| Unknown | 13 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 125 | 53% |
| Biochemistry, Genetics and Molecular Biology | 41 | 17% |
| Computer Science | 23 | 10% |
| Medicine and Dentistry | 15 | 6% |
| Engineering | 4 | 2% |
| Other | 13 | 5% |
| Unknown | 16 | 7% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 17 December 2015.
All research outputs
#5,611,796
of 25,837,817 outputs
Outputs from BMC Bioinformatics
#1,990
of 7,763 outputs
Outputs of similar age
#21,750
of 109,558 outputs
Outputs of similar age from BMC Bioinformatics
#11
of 57 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,763 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has gotten more attention than average, scoring higher than 72% 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 109,558 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 73% of its contemporaries.
We're also able to compare this research output to 57 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 73% of its contemporaries.