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Mendeley readers
Attention Score in Context
| Title |
SynTReN: a generator of synthetic gene expression data for design and analysis of structure learning algorithms
|
|---|---|
| Published in |
BMC Bioinformatics, January 2006
|
| DOI | 10.1186/1471-2105-7-43 |
| Pubmed ID | |
| Authors |
Tim Van den Bulcke, Koenraad Van Leemput, Bart Naudts, Piet van Remortel, Hongwu Ma, Alain Verschoren, Bart De Moor, Kathleen Marchal |
Mendeley readers
The data shown below were compiled from readership statistics for 206 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Belgium | 3 | 1% |
| United States | 3 | 1% |
| United Kingdom | 3 | 1% |
| Italy | 2 | <1% |
| Hong Kong | 1 | <1% |
| Germany | 1 | <1% |
| China | 1 | <1% |
| Switzerland | 1 | <1% |
| Japan | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 189 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 56 | 27% |
| Researcher | 43 | 21% |
| Student > Master | 18 | 9% |
| Professor > Associate Professor | 14 | 7% |
| Professor | 12 | 6% |
| Other | 38 | 18% |
| Unknown | 25 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 64 | 31% |
| Computer Science | 53 | 26% |
| Biochemistry, Genetics and Molecular Biology | 21 | 10% |
| Engineering | 12 | 6% |
| Mathematics | 11 | 5% |
| Other | 19 | 9% |
| Unknown | 26 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 February 2020.
All research outputs
#7,482,726
of 22,873,031 outputs
Outputs from BMC Bioinformatics
#3,032
of 7,297 outputs
Outputs of similar age
#40,693
of 154,911 outputs
Outputs of similar age from BMC Bioinformatics
#24
of 50 outputs
Altmetric has tracked 22,873,031 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,297 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 gotten more attention than average, scoring higher than 50% 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 154,911 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.