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X Demographics
Mendeley readers
Attention Score in Context
| Title |
MafFilter: a highly flexible and extensible multiple genome alignment files processor
|
|---|---|
| Published in |
BMC Genomics, January 2014
|
| DOI | 10.1186/1471-2164-15-53 |
| Pubmed ID | |
| Authors |
Julien Y Dutheil, Sylvain Gaillard, Eva H Stukenbrock |
| Abstract |
Sequence alignments are the starting point for most evolutionary and comparative analyses. Full genome sequences can be compared to study patterns of within and between species variation. Genome sequence alignments are complex structures containing information such as coordinates, quality scores and synteny structure, which are stored in Multiple Alignment Format (MAF) files. Processing these alignments therefore involves parsing and manipulating typically large MAF files in an efficient way. |
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 % |
|---|---|---|
| Germany | 1 | 25% |
| Netherlands | 1 | 25% |
| Belgium | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Scientists | 1 | 25% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 2 | 2% |
| Australia | 1 | 1% |
| Brazil | 1 | 1% |
| Sweden | 1 | 1% |
| United Kingdom | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 84 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 31 | 34% |
| Student > Ph. D. Student | 18 | 20% |
| Student > Master | 12 | 13% |
| Student > Bachelor | 5 | 5% |
| Other | 5 | 5% |
| Other | 8 | 9% |
| Unknown | 12 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 46 | 51% |
| Biochemistry, Genetics and Molecular Biology | 24 | 26% |
| Computer Science | 3 | 3% |
| Environmental Science | 1 | 1% |
| Unspecified | 1 | 1% |
| Other | 4 | 4% |
| Unknown | 12 | 13% |
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 25 July 2017.
All research outputs
#15,168,964
of 25,373,627 outputs
Outputs from BMC Genomics
#5,391
of 11,244 outputs
Outputs of similar age
#175,877
of 320,910 outputs
Outputs of similar age from BMC Genomics
#104
of 213 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 49th percentile – i.e., 49% 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 320,910 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
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 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.