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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Functional normalization of 450k methylation array data improves replication in large cancer studies
|
|---|---|
| Published in |
Genome Biology, December 2014
|
| DOI | 10.1186/s13059-014-0503-2 |
| Pubmed ID | |
| Authors |
Jean-Philippe Fortin, Aurélie Labbe, Mathieu Lemire, Brent W Zanke, Thomas J Hudson, Elana J Fertig, Celia MT Greenwood, Kasper D Hansen |
X Demographics
The data shown below were collected from the profiles of 32 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 13 | 41% |
| Spain | 3 | 9% |
| Australia | 2 | 6% |
| France | 1 | 3% |
| Switzerland | 1 | 3% |
| United Kingdom | 1 | 3% |
| Canada | 1 | 3% |
| New Zealand | 1 | 3% |
| Unknown | 9 | 28% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 17 | 53% |
| Members of the public | 13 | 41% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 472 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 1% |
| United Kingdom | 3 | <1% |
| Germany | 2 | <1% |
| Spain | 2 | <1% |
| Sweden | 1 | <1% |
| Norway | 1 | <1% |
| New Zealand | 1 | <1% |
| Switzerland | 1 | <1% |
| Canada | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 453 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 124 | 26% |
| Researcher | 101 | 21% |
| Student > Master | 51 | 11% |
| Student > Bachelor | 32 | 7% |
| Student > Doctoral Student | 28 | 6% |
| Other | 62 | 13% |
| Unknown | 74 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 121 | 26% |
| Agricultural and Biological Sciences | 117 | 25% |
| Medicine and Dentistry | 45 | 10% |
| Computer Science | 34 | 7% |
| Neuroscience | 13 | 3% |
| Other | 42 | 9% |
| Unknown | 100 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 25. 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 23 January 2024.
All research outputs
#1,579,650
of 25,837,817 outputs
Outputs from Genome Biology
#1,276
of 4,513 outputs
Outputs of similar age
#20,596
of 374,370 outputs
Outputs of similar age from Genome Biology
#24
of 100 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 93rd 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 71% 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 374,370 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 93% of its contemporaries.
We're also able to compare this research output to 100 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.