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X Demographics
Mendeley readers
Attention Score in Context
| Title |
BioMAJ2Galaxy: automatic update of reference data in Galaxy using BioMAJ
|
|---|---|
| Published in |
Giga Science, May 2015
|
| DOI | 10.1186/s13742-015-0063-8 |
| Pubmed ID | |
| Authors |
Anthony Bretaudeau, Cyril Monjeaud, Yvan Le Bras, Fabrice Legeai, Olivier Collin |
| Abstract |
Many bioinformatics tools use reference data, such as genome assemblies or sequence databanks. Galaxy offers multiple ways to give access to this data through its web interface. However, the process of adding new reference data was customarily manual and time consuming, even more so when this data needed to be indexed in a variety of formats (e.g. Blast, Bowtie, BWA, or 2bit). BioMAJ is a widely used and stable software that is designed to automate the download and transformation of data from various sources. This data can be used directly from the command line, in more complex systems, such as Mobyle, or by using a REST API. To ease the process of giving access to reference data in Galaxy, we have developed the BioMAJ2Galaxy module, which enables the gap between BioMAJ and Galaxy to be bridged. With this module, it is now possible to configure BioMAJ to automatically download some reference data, to then convert and/or index it in various formats, and then make this data available in a Galaxy server using data libraries or data managers. The developments presented in this paper allow us to integrate the reference data in Galaxy in an automatic, reliable, and diskspace-saving way. The code is freely available on the GenOuest GitHub account (https://github.com/genouest/biomaj2galaxy). |
X Demographics
The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 3 | 20% |
| United Kingdom | 2 | 13% |
| United States | 1 | 7% |
| Japan | 1 | 7% |
| Hong Kong | 1 | 7% |
| Unknown | 7 | 47% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 53% |
| Scientists | 5 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
| Practitioners (doctors, other healthcare professionals) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 6% |
| Unknown | 17 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 39% |
| Student > Bachelor | 4 | 22% |
| Professor | 1 | 6% |
| Other | 1 | 6% |
| Student > Master | 1 | 6% |
| Other | 3 | 17% |
| Unknown | 1 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 28% |
| Agricultural and Biological Sciences | 5 | 28% |
| Computer Science | 2 | 11% |
| Engineering | 2 | 11% |
| Medicine and Dentistry | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 2 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 29 September 2016.
All research outputs
#3,230,883
of 25,461,852 outputs
Outputs from Giga Science
#635
of 1,170 outputs
Outputs of similar age
#39,644
of 278,934 outputs
Outputs of similar age from Giga Science
#11
of 16 outputs
Altmetric has tracked 25,461,852 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,170 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.8. This one is in the 45th percentile – i.e., 45% 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 278,934 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.