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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Community-driven computational biology with Debian Linux
|
|---|---|
| Published in |
BMC Bioinformatics, December 2010
|
| DOI | 10.1186/1471-2105-11-s12-s5 |
| Pubmed ID | |
| Authors |
Steffen Möller, Hajo Nils Krabbenhöft, Andreas Tille, David Paleino, Alan Williams, Katy Wolstencroft, Carole Goble, Richard Holland, Dominique Belhachemi, Charles Plessy |
| Abstract |
The Open Source movement and its technologies are popular in the bioinformatics community because they provide freely available tools and resources for research. In order to feed the steady demand for updates on software and associated data, a service infrastructure is required for sharing and providing these tools to heterogeneous computing environments. |
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 % |
|---|---|---|
| Germany | 1 | 50% |
| Canada | 1 | 50% |
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 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 4 | 6% |
| United States | 2 | 3% |
| Indonesia | 1 | 2% |
| France | 1 | 2% |
| Brazil | 1 | 2% |
| Germany | 1 | 2% |
| Belgium | 1 | 2% |
| Switzerland | 1 | 2% |
| Spain | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 51 | 78% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 29% |
| Student > Master | 14 | 22% |
| Student > Ph. D. Student | 11 | 17% |
| Student > Bachelor | 5 | 8% |
| Professor | 5 | 8% |
| Other | 10 | 15% |
| Unknown | 1 | 2% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 19 | 29% |
| Computer Science | 17 | 26% |
| Biochemistry, Genetics and Molecular Biology | 8 | 12% |
| Medicine and Dentistry | 5 | 8% |
| Business, Management and Accounting | 3 | 5% |
| Other | 10 | 15% |
| Unknown | 3 | 5% |
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 22 March 2014.
All research outputs
#15,823,086
of 24,287,598 outputs
Outputs from BMC Bioinformatics
#5,169
of 7,511 outputs
Outputs of similar age
#147,579
of 189,661 outputs
Outputs of similar age from BMC Bioinformatics
#39
of 55 outputs
Altmetric has tracked 24,287,598 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,511 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 30th percentile – i.e., 30% 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 189,661 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.