| Title |
SWAN: Subset-quantile Within Array Normalization for Illumina Infinium HumanMethylation450 BeadChips
|
|---|---|
| Published in |
Genome Biology, June 2012
|
| DOI | 10.1186/gb-2012-13-6-r44 |
| Pubmed ID | |
| Authors |
Jovana Maksimovic, Lavinia Gordon, Alicia Oshlack |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 5 | 45% |
| United States | 2 | 18% |
| France | 1 | 9% |
| United Kingdom | 1 | 9% |
| Unknown | 2 | 18% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 7 | 64% |
| Members of the public | 3 | 27% |
| Science communicators (journalists, bloggers, editors) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 506 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 8 | 2% |
| United Kingdom | 3 | <1% |
| Germany | 2 | <1% |
| Norway | 2 | <1% |
| Sweden | 2 | <1% |
| Australia | 2 | <1% |
| Belgium | 2 | <1% |
| Turkey | 2 | <1% |
| Canada | 2 | <1% |
| Other | 8 | 2% |
| Unknown | 473 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 134 | 26% |
| Researcher | 112 | 22% |
| Student > Master | 46 | 9% |
| Student > Doctoral Student | 41 | 8% |
| Student > Bachelor | 33 | 7% |
| Other | 71 | 14% |
| Unknown | 69 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 160 | 32% |
| Biochemistry, Genetics and Molecular Biology | 103 | 20% |
| Medicine and Dentistry | 65 | 13% |
| Computer Science | 37 | 7% |
| Mathematics | 11 | 2% |
| Other | 47 | 9% |
| Unknown | 83 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 02 August 2022.
All research outputs
#2,471,962
of 25,837,817 outputs
Outputs from Genome Biology
#1,987
of 4,513 outputs
Outputs of similar age
#15,088
of 181,544 outputs
Outputs of similar age from Genome Biology
#12
of 40 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,513 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.7. This one has gotten more attention than average, scoring higher than 55% 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 181,544 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.