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Mendeley readers
Attention Score in Context
| Title |
Comparing genotyping algorithms for Illumina's Infinium whole-genome SNP BeadChips
|
|---|---|
| Published in |
BMC Bioinformatics, March 2011
|
| DOI | 10.1186/1471-2105-12-68 |
| Pubmed ID | |
| Authors |
Matthew E Ritchie, Ruijie Liu, Benilton S Carvalho, The Australia and New Zealand Multiple Sclerosis Genetics Consortium (ANZgene), Rafael A Irizarry |
Mendeley readers
The data shown below were compiled from readership statistics for 164 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 3 | 2% |
| United States | 3 | 2% |
| France | 2 | 1% |
| Germany | 1 | <1% |
| Canada | 1 | <1% |
| United Kingdom | 1 | <1% |
| Thailand | 1 | <1% |
| New Zealand | 1 | <1% |
| Unknown | 151 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 49 | 30% |
| Student > Ph. D. Student | 30 | 18% |
| Student > Master | 16 | 10% |
| Other | 12 | 7% |
| Student > Doctoral Student | 10 | 6% |
| Other | 27 | 16% |
| Unknown | 20 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 84 | 51% |
| Biochemistry, Genetics and Molecular Biology | 23 | 14% |
| Medicine and Dentistry | 10 | 6% |
| Computer Science | 10 | 6% |
| Mathematics | 7 | 4% |
| Other | 11 | 7% |
| Unknown | 19 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 March 2011.
All research outputs
#6,486,507
of 25,837,817 outputs
Outputs from BMC Bioinformatics
#2,150
of 7,763 outputs
Outputs of similar age
#34,842
of 123,599 outputs
Outputs of similar age from BMC Bioinformatics
#9
of 47 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 7,763 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has gotten more attention than average, scoring higher than 72% 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 123,599 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.