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Mendeley readers
Attention Score in Context
| Title |
Normalization of Illumina Infinium whole-genome SNP data improves copy number estimates and allelic intensity ratios
|
|---|---|
| Published in |
BMC Bioinformatics, October 2008
|
| DOI | 10.1186/1471-2105-9-409 |
| Pubmed ID | |
| Authors |
Johan Staaf, Johan Vallon-Christersson, David Lindgren, Gunnar Juliusson, Richard Rosenquist, Mattias Höglund, Åke Borg, Markus Ringnér |
Mendeley readers
The data shown below were compiled from readership statistics for 175 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 2% |
| Australia | 2 | 1% |
| France | 2 | 1% |
| Spain | 2 | 1% |
| Belgium | 2 | 1% |
| United Kingdom | 2 | 1% |
| Turkey | 1 | <1% |
| Israel | 1 | <1% |
| Ukraine | 1 | <1% |
| Other | 5 | 3% |
| Unknown | 153 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 62 | 35% |
| Student > Ph. D. Student | 40 | 23% |
| Student > Master | 14 | 8% |
| Professor > Associate Professor | 10 | 6% |
| Other | 9 | 5% |
| Other | 25 | 14% |
| Unknown | 15 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 100 | 57% |
| Biochemistry, Genetics and Molecular Biology | 25 | 14% |
| Medicine and Dentistry | 16 | 9% |
| Mathematics | 6 | 3% |
| Computer Science | 3 | 2% |
| Other | 8 | 5% |
| Unknown | 17 | 10% |
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 06 July 2022.
All research outputs
#7,455,523
of 22,792,160 outputs
Outputs from BMC Bioinformatics
#3,023
of 7,280 outputs
Outputs of similar age
#31,883
of 89,325 outputs
Outputs of similar age from BMC Bioinformatics
#16
of 37 outputs
Altmetric has tracked 22,792,160 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 7,280 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 89,325 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.