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Mendeley readers
Attention Score in Context
Title |
PhylDiag: identifying complex synteny blocks that include tandem duplications using phylogenetic gene trees
|
---|---|
Published in |
BMC Bioinformatics, August 2014
|
DOI | 10.1186/1471-2105-15-268 |
Pubmed ID | |
Authors |
Joseph MEX Lucas, Matthieu Muffato, Hugues Roest Crollius |
Abstract |
Extant genomes share regions where genes have the same order and orientation, which are thought to arise from the conservation of an ancestral order of genes during evolution. Such regions of so-called conserved synteny, or synteny blocks, must be precisely identified and quantified, as a prerequisite to better understand the evolutionary history of genomes. |
X Demographics
The data shown below were collected from the profiles of 4 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 Kingdom | 1 | 25% |
Norway | 1 | 25% |
Unknown | 2 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 3 | 75% |
Members of the public | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 2% |
United States | 1 | 2% |
Unknown | 51 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 10 | 19% |
Researcher | 7 | 13% |
Student > Bachelor | 5 | 9% |
Student > Master | 5 | 9% |
Professor | 5 | 9% |
Other | 8 | 15% |
Unknown | 13 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 20 | 38% |
Biochemistry, Genetics and Molecular Biology | 8 | 15% |
Computer Science | 6 | 11% |
Unspecified | 4 | 8% |
Unknown | 15 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 14 August 2014.
All research outputs
#13,917,593
of 22,759,618 outputs
Outputs from BMC Bioinformatics
#4,471
of 7,273 outputs
Outputs of similar age
#115,491
of 230,503 outputs
Outputs of similar age from BMC Bioinformatics
#75
of 122 outputs
Altmetric has tracked 22,759,618 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,273 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 35th percentile – i.e., 35% 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 230,503 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 122 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.