| Title |
Insights into snoRNA biogenesis and processing from PAR-CLIP of snoRNA core proteins and small RNA sequencing
|
|---|---|
| Published in |
Genome Biology, May 2013
|
| DOI | 10.1186/gb-2013-14-5-r45 |
| Pubmed ID | |
| Authors |
Shivendra Kishore, Andreas R Gruber, Dominik J Jedlinski, Afzal P Syed, Hadi Jorjani, Mihaela Zavolan |
| Abstract |
In recent years, a variety of small RNAs derived from other RNAs with well-known functions such as tRNAs and snoRNAs, have been identified. The functional relevance of these RNAs is largely unknown. To gain insight into the complexity of snoRNA processing and the functional relevance of snoRNA-derived small RNAs, we sequence long and short RNAs, small RNAs that co-precipitate with the Argonaute 2 protein and RNA fragments obtained in photoreactive nucleotide-enhanced crosslinking and immunoprecipitation (PAR-CLIP) of core snoRNA-associated proteins. |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 17% |
| United States | 1 | 17% |
| France | 1 | 17% |
| United Kingdom | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 50% |
| Members of the public | 2 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 165 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 2 | 1% |
| Japan | 2 | 1% |
| United Kingdom | 2 | 1% |
| Australia | 1 | <1% |
| New Zealand | 1 | <1% |
| Germany | 1 | <1% |
| Denmark | 1 | <1% |
| Belgium | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 152 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 51 | 31% |
| Researcher | 34 | 21% |
| Student > Master | 21 | 13% |
| Student > Doctoral Student | 11 | 7% |
| Student > Bachelor | 9 | 5% |
| Other | 18 | 11% |
| Unknown | 21 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 71 | 43% |
| Biochemistry, Genetics and Molecular Biology | 46 | 28% |
| Medicine and Dentistry | 5 | 3% |
| Computer Science | 5 | 3% |
| Chemistry | 3 | 2% |
| Other | 7 | 4% |
| Unknown | 28 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 06 June 2013.
All research outputs
#14,600,874
of 25,374,917 outputs
Outputs from Genome Biology
#3,853
of 4,467 outputs
Outputs of similar age
#108,621
of 207,560 outputs
Outputs of similar age from Genome Biology
#58
of 66 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 13th percentile – i.e., 13% of its peers scored the same or lower than it.
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