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Mendeley readers
Attention Score in Context
Title |
MOSAL: software tools for multiobjective sequence alignment
|
---|---|
Published in |
Source Code for Biology and Medicine, January 2014
|
DOI | 10.1186/1751-0473-9-2 |
Pubmed ID | |
Authors |
Luís Paquete, Pedro Matias, Maryam Abbasi, Miguel Pinheiro |
Abstract |
: Multiobjective sequence alignment brings the advantage of providing a set of alignments that represent the trade-off between performing insertion/deletions and matching symbols from both sequences. Each of these alignments provide a potential explanation of the relationship between the sequences. We introduce MOSAL, a software tool that provides an open-source implementation and an on-line application for multiobjective pairwise sequence alignment. |
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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Ecuador | 1 | 14% |
Unknown | 6 | 86% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Professor > Associate Professor | 2 | 29% |
Student > Master | 2 | 29% |
Researcher | 1 | 14% |
Student > Ph. D. Student | 1 | 14% |
Unknown | 1 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 3 | 43% |
Agricultural and Biological Sciences | 3 | 43% |
Unknown | 1 | 14% |
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 25 March 2014.
All research outputs
#17,708,224
of 22,738,543 outputs
Outputs from Source Code for Biology and Medicine
#95
of 127 outputs
Outputs of similar age
#220,159
of 304,743 outputs
Outputs of similar age from Source Code for Biology and Medicine
#3
of 5 outputs
Altmetric has tracked 22,738,543 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 127 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one is in the 20th percentile – i.e., 20% 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 304,743 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.