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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The MOLGENIS toolkit: rapid prototyping of biosoftware at the push of a button
|
|---|---|
| Published in |
BMC Bioinformatics, December 2010
|
| DOI | 10.1186/1471-2105-11-s12-s12 |
| Pubmed ID | |
| Authors |
Morris A Swertz, Martijn Dijkstra, Tomasz Adamusiak, Joeri K van der Velde, Alexandros Kanterakis, Erik T Roos, Joris Lops, Gudmundur A Thorisson, Danny Arends, George Byelas, Juha Muilu, Anthony J Brookes, Engbert O de Brock, Ritsert C Jansen, Helen Parkinson |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 33% |
| Sweden | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 124 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 3% |
| Netherlands | 4 | 3% |
| Germany | 2 | 2% |
| Indonesia | 1 | <1% |
| Portugal | 1 | <1% |
| Sweden | 1 | <1% |
| Austria | 1 | <1% |
| Belgium | 1 | <1% |
| Iceland | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 108 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 36 | 29% |
| Researcher | 28 | 23% |
| Student > Bachelor | 14 | 11% |
| Student > Master | 13 | 10% |
| Professor > Associate Professor | 6 | 5% |
| Other | 15 | 12% |
| Unknown | 12 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 46 | 37% |
| Computer Science | 21 | 17% |
| Medicine and Dentistry | 13 | 10% |
| Biochemistry, Genetics and Molecular Biology | 12 | 10% |
| Unspecified | 5 | 4% |
| Other | 15 | 12% |
| Unknown | 12 | 10% |
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 28 November 2018.
All research outputs
#15,818,525
of 25,998,826 outputs
Outputs from BMC Bioinformatics
#4,604
of 7,793 outputs
Outputs of similar age
#154,416
of 198,499 outputs
Outputs of similar age from BMC Bioinformatics
#39
of 57 outputs
Altmetric has tracked 25,998,826 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 7,793 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one is in the 37th percentile – i.e., 37% 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 198,499 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 57 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.