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X Demographics
Attention Score in Context
| Title |
DOCKING-CALCULATION-BASED METHOD FOR PREDICTING PROTEIN-RNA INTERACTIONS
|
|---|---|
| Published in |
Genome informatics, August 2011
|
| DOI | 10.11234/gi.25.25 |
| Pubmed ID | |
| Authors |
MASAHITO OHUE, YURI MATSUZAKI, YUTAKA AKIYAMA |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
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 23 April 2024.
All research outputs
#21,145,071
of 25,971,360 outputs
Outputs from Genome informatics
#16
of 20 outputs
Outputs of similar age
#110,459
of 132,472 outputs
Outputs of similar age from Genome informatics
#12
of 15 outputs
Altmetric has tracked 25,971,360 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 20 research outputs from this source. They receive a mean Attention Score of 3.3. This one scored the same or higher as 4 of them.
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 132,472 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.