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X Demographics
Mendeley readers
Attention Score in Context
| Title |
snOPY: a small nucleolar RNA orthological gene database
|
|---|---|
| Published in |
BMC Research Notes, October 2013
|
| DOI | 10.1186/1756-0500-6-426 |
| Pubmed ID | |
| Authors |
Maki Yoshihama, Akihiro Nakao, Naoya Kenmochi |
| Abstract |
Small nucleolar RNAs (snoRNAs) are a class of non-coding RNAs that guide the modification of specific nucleotides in ribosomal RNAs (rRNAs) and small nuclear RNAs (snRNAs). Although most non-coding RNAs undergo post-transcriptional modifications prior to maturation, the functional significance of these modifications remains unknown. Here, we introduce the snoRNA orthological gene database (snOPY) as a tool for studying RNA modifications. |
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 % |
|---|---|---|
| Unknown | 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 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| New Zealand | 1 | 1% |
| Denmark | 1 | 1% |
| Unknown | 65 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 24% |
| Student > Ph. D. Student | 12 | 18% |
| Other | 6 | 9% |
| Student > Master | 6 | 9% |
| Student > Bachelor | 5 | 7% |
| Other | 8 | 12% |
| Unknown | 14 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 23 | 34% |
| Agricultural and Biological Sciences | 17 | 25% |
| Engineering | 2 | 3% |
| Chemistry | 2 | 3% |
| Arts and Humanities | 1 | 1% |
| Other | 4 | 6% |
| Unknown | 18 | 27% |
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 03 September 2014.
All research outputs
#19,015,492
of 23,577,654 outputs
Outputs from BMC Research Notes
#3,040
of 4,303 outputs
Outputs of similar age
#159,780
of 213,831 outputs
Outputs of similar age from BMC Research Notes
#50
of 67 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,303 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one is in the 16th percentile – i.e., 16% 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 213,831 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.