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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Sequence and structure analysis of noncoding RNAs.
|
|---|---|
| Chapter number | 17 |
| Book title |
Data Mining Techniques for the Life Sciences
|
| Published in |
Methods in molecular biology, March 2010
|
| DOI | 10.1007/978-1-60327-241-4_17 |
| Pubmed ID | |
| Book ISBNs |
978-1-60327-240-7, 978-1-60327-241-4
|
| Authors |
Washietl S, Stefan Washietl, Washietl, Stefan |
| Abstract |
Noncoding RNAs (ncRNAs) are increasingly recognized as important functional molecules in the cell. Here we give a short overview of fundamental computational techniques to analyze ncRNAs that can help us better understand their function. Topics covered include prediction of secondary structure from the primary sequence, prediction of consensus structures for homologous sequences, search for homologous sequences in databases using sequence and structure comparisons, annotation of tRNAs, rRNAs, snoRNAs, and microRNAs, de novo prediction of novel ncRNAs, and prediction of RNA/RNA interactions including miRNA target prediction. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 15% |
| France | 2 | 6% |
| Germany | 1 | 3% |
| Mexico | 1 | 3% |
| Poland | 1 | 3% |
| Unknown | 24 | 71% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 29% |
| Student > Ph. D. Student | 7 | 21% |
| Professor > Associate Professor | 4 | 12% |
| Professor | 3 | 9% |
| Student > Postgraduate | 3 | 9% |
| Other | 5 | 15% |
| Unknown | 2 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 23 | 68% |
| Medicine and Dentistry | 5 | 15% |
| Biochemistry, Genetics and Molecular Biology | 2 | 6% |
| Earth and Planetary Sciences | 1 | 3% |
| Veterinary Science and Veterinary Medicine | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 2 | 6% |
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 21 March 2012.
All research outputs
#15,242,707
of 22,663,969 outputs
Outputs from Methods in molecular biology
#5,281
of 13,024 outputs
Outputs of similar age
#76,567
of 93,734 outputs
Outputs of similar age from Methods in molecular biology
#11
of 21 outputs
Altmetric has tracked 22,663,969 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,024 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 45th percentile – i.e., 45% 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 93,734 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.