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X Demographics
Mendeley readers
Attention Score in Context
Title |
Splign: algorithms for computing spliced alignments with identification of paralogs
|
---|---|
Published in |
Biology Direct, May 2008
|
DOI | 10.1186/1745-6150-3-20 |
Pubmed ID | |
Authors |
Yuri Kapustin, Alexander Souvorov, Tatiana Tatusova, David Lipman |
Abstract |
The computation of accurate alignments of cDNA sequences against a genome is at the foundation of modern genome annotation pipelines. Several factors such as presence of paralogs, small exons, non-consensus splice signals, sequencing errors and polymorphic sites pose recognized difficulties to existing spliced alignment algorithms. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Czechia | 1 | 33% |
United Kingdom | 1 | 33% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 211 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 5 | 2% |
Germany | 1 | <1% |
Australia | 1 | <1% |
Sweden | 1 | <1% |
India | 1 | <1% |
Norway | 1 | <1% |
Canada | 1 | <1% |
United Kingdom | 1 | <1% |
Spain | 1 | <1% |
Other | 1 | <1% |
Unknown | 197 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 49 | 23% |
Researcher | 43 | 20% |
Student > Master | 34 | 16% |
Student > Bachelor | 24 | 11% |
Student > Postgraduate | 8 | 4% |
Other | 28 | 13% |
Unknown | 25 | 12% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 108 | 51% |
Biochemistry, Genetics and Molecular Biology | 47 | 22% |
Computer Science | 4 | 2% |
Medicine and Dentistry | 3 | 1% |
Chemistry | 3 | 1% |
Other | 11 | 5% |
Unknown | 35 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 05 June 2018.
All research outputs
#2,595,419
of 25,371,288 outputs
Outputs from Biology Direct
#102
of 537 outputs
Outputs of similar age
#7,342
of 96,487 outputs
Outputs of similar age from Biology Direct
#1
of 6 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 537 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one has done well, scoring higher than 81% 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 96,487 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 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them