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X Demographics
Mendeley readers
Attention Score in Context
| Title |
CONAN: copy number variation analysis software for genome-wide association studies
|
|---|---|
| Published in |
BMC Bioinformatics, June 2010
|
| DOI | 10.1186/1471-2105-11-318 |
| Pubmed ID | |
| Authors |
Lukas Forer, Sebastian Schönherr, Hansi Weissensteiner, Florian Haider, Thomas Kluckner, Christian Gieger, Heinz-Erich Wichmann, Günther Specht, Florian Kronenberg, Anita Kloss-Brandstätter |
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 % |
|---|---|---|
| Spain | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 3 | 3% |
| Brazil | 2 | 2% |
| Germany | 1 | 1% |
| Chile | 1 | 1% |
| Netherlands | 1 | 1% |
| South Africa | 1 | 1% |
| Iceland | 1 | 1% |
| Unknown | 86 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 25 | 26% |
| Student > Ph. D. Student | 16 | 17% |
| Student > Master | 11 | 11% |
| Professor > Associate Professor | 10 | 10% |
| Student > Bachelor | 8 | 8% |
| Other | 23 | 24% |
| Unknown | 3 | 3% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 53 | 55% |
| Biochemistry, Genetics and Molecular Biology | 12 | 13% |
| Medicine and Dentistry | 12 | 13% |
| Computer Science | 8 | 8% |
| Mathematics | 3 | 3% |
| Other | 5 | 5% |
| Unknown | 3 | 3% |
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 13 September 2019.
All research outputs
#14,923,511
of 23,163,378 outputs
Outputs from BMC Bioinformatics
#5,078
of 7,341 outputs
Outputs of similar age
#77,471
of 96,695 outputs
Outputs of similar age from BMC Bioinformatics
#50
of 68 outputs
Altmetric has tracked 23,163,378 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,341 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. 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 96,695 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 68 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.