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X Demographics
Mendeley readers
Attention Score in Context
| Title |
MEIGO: an open-source software suite based on metaheuristics for global optimization in systems biology and bioinformatics
|
|---|---|
| Published in |
BMC Bioinformatics, May 2014
|
| DOI | 10.1186/1471-2105-15-136 |
| Pubmed ID | |
| Authors |
Jose A Egea, David Henriques, Thomas Cokelaer, Alejandro F Villaverde, Aidan MacNamara, Diana-Patricia Danciu, Julio R Banga, Julio Saez-Rodriguez |
| Abstract |
Optimization is the key to solving many problems in computational biology. Global optimization methods, which provide a robust methodology, and metaheuristics in particular have proven to be the most efficient methods for many applications. Despite their utility, there is a limited availability of metaheuristic tools. |
X Demographics
The data shown below were collected from the profiles of 13 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 | 3 | 23% |
| France | 1 | 8% |
| Netherlands | 1 | 8% |
| Norway | 1 | 8% |
| Spain | 1 | 8% |
| United Kingdom | 1 | 8% |
| Unknown | 5 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 7 | 54% |
| Members of the public | 6 | 46% |
Mendeley readers
The data shown below were compiled from readership statistics for 156 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 1% |
| Malaysia | 1 | <1% |
| France | 1 | <1% |
| Italy | 1 | <1% |
| Ghana | 1 | <1% |
| Australia | 1 | <1% |
| Singapore | 1 | <1% |
| Spain | 1 | <1% |
| Unknown | 147 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 37 | 24% |
| Researcher | 26 | 17% |
| Student > Master | 15 | 10% |
| Student > Bachelor | 14 | 9% |
| Student > Doctoral Student | 13 | 8% |
| Other | 29 | 19% |
| Unknown | 22 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 33 | 21% |
| Engineering | 28 | 18% |
| Computer Science | 21 | 13% |
| Biochemistry, Genetics and Molecular Biology | 12 | 8% |
| Chemistry | 6 | 4% |
| Other | 29 | 19% |
| Unknown | 27 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 05 June 2014.
All research outputs
#2,249,169
of 23,746,606 outputs
Outputs from BMC Bioinformatics
#582
of 7,431 outputs
Outputs of similar age
#23,132
of 228,492 outputs
Outputs of similar age from BMC Bioinformatics
#13
of 146 outputs
Altmetric has tracked 23,746,606 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,431 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done particularly well, scoring higher than 92% of its peers.
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 228,492 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 89% of its contemporaries.
We're also able to compare this research output to 146 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.