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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A multi-split mapping algorithm for circular RNA, splicing, trans-splicing and fusion detection
|
|---|---|
| Published in |
Genome Biology, February 2014
|
| DOI | 10.1186/gb-2014-15-2-r34 |
| Pubmed ID | |
| Authors |
Steve Hoffmann, Christian Otto, Gero Doose, Andrea Tanzer, David Langenberger, Sabina Christ, Manfred Kunz, Lesca M Holdt, Daniel Teupser, Jörg Hackermüller, Peter F Stadler |
| Abstract |
Numerous high-throughput sequencing studies focus on detecting conventionally spliced mRNAs in RNA-seq data. However, non-standard RNAs arising through gene fusion, circularization, or trans-splicing are often neglected. We introduce a novel, unbiased algorithm to detect splice junctions from single-end cDNA sequences. In contrast to other methods, our approach accommodates multi-junction structures. Our method compares favorably with competing tools on conventionally spliced mRNAs and, with a gain of up to 40\% of recall, systematically outperforms them on reads with multiple splits, trans-splicing and circular products. The algorithm is integrated into our mapping tool segemehl (www.bioinf.uni-leipzig.de/Software/segemehl/). |
X Demographics
The data shown below were collected from the profiles of 28 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 21% |
| United Kingdom | 4 | 14% |
| Germany | 3 | 11% |
| Canada | 1 | 4% |
| Cameroon | 1 | 4% |
| Australia | 1 | 4% |
| Austria | 1 | 4% |
| New Zealand | 1 | 4% |
| Montenegro | 1 | 4% |
| Other | 4 | 14% |
| Unknown | 5 | 18% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 18 | 64% |
| Members of the public | 9 | 32% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 310 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 2% |
| Germany | 3 | <1% |
| United Kingdom | 3 | <1% |
| Denmark | 2 | <1% |
| Brazil | 2 | <1% |
| Ireland | 1 | <1% |
| Italy | 1 | <1% |
| Netherlands | 1 | <1% |
| Switzerland | 1 | <1% |
| Other | 6 | 2% |
| Unknown | 284 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 87 | 28% |
| Researcher | 73 | 24% |
| Student > Master | 35 | 11% |
| Student > Bachelor | 23 | 7% |
| Professor > Associate Professor | 17 | 5% |
| Other | 34 | 11% |
| Unknown | 41 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 122 | 39% |
| Biochemistry, Genetics and Molecular Biology | 74 | 24% |
| Computer Science | 24 | 8% |
| Medicine and Dentistry | 17 | 5% |
| Engineering | 7 | 2% |
| Other | 17 | 5% |
| Unknown | 49 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 17 March 2020.
All research outputs
#2,169,294
of 25,706,302 outputs
Outputs from Genome Biology
#1,802
of 4,504 outputs
Outputs of similar age
#24,929
of 329,533 outputs
Outputs of similar age from Genome Biology
#50
of 96 outputs
Altmetric has tracked 25,706,302 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,504 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 59% of its peers.
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 329,533 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 96 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.