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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Alignment-free comparative genomic screen for structured RNAs using coarse-grained secondary structure dot plots
|
|---|---|
| Published in |
BMC Genomics, December 2017
|
| DOI | 10.1186/s12864-017-4309-y |
| Pubmed ID | |
| Authors |
Yuki Kato, Jan Gorodkin, Jakob Hull Havgaard |
| Abstract |
Structured non-coding RNAs play many different roles in the cells, but the annotation of these RNAs is lacking even within the human genome. The currently available computational tools are either too computationally heavy for use in full genomic screens or rely on pre-aligned sequences. Here we present a fast and efficient method, DotcodeR, for detecting structurally similar RNAs in genomic sequences by comparing their corresponding coarse-grained secondary structure dot plots at string level. This allows us to perform an all-against-all scan of all window pairs from two genomes without alignment. Our computational experiments with simulated data and real chromosomes demonstrate that the presented method has good sensitivity. DotcodeR can be useful as a pre-filter in a genomic comparative scan for structured RNAs. |
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 % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 25% |
| Student > Ph. D. Student | 3 | 19% |
| Professor | 2 | 13% |
| Unspecified | 1 | 6% |
| Student > Master | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 4 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 5 | 31% |
| Computer Science | 3 | 19% |
| Biochemistry, Genetics and Molecular Biology | 2 | 13% |
| Unspecified | 1 | 6% |
| Medicine and Dentistry | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 4 | 25% |
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 February 2018.
All research outputs
#17,921,555
of 23,009,818 outputs
Outputs from BMC Genomics
#7,614
of 10,697 outputs
Outputs of similar age
#305,842
of 438,131 outputs
Outputs of similar age from BMC Genomics
#144
of 213 outputs
Altmetric has tracked 23,009,818 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,697 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 23rd percentile – i.e., 23% of its peers scored the same or lower than it.
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We're also able to compare this research output to 213 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.