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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A data-driven approach to preprocessing Illumina 450K methylation array data
|
|---|---|
| Published in |
BMC Genomics, May 2013
|
| DOI | 10.1186/1471-2164-14-293 |
| Pubmed ID | |
| Authors |
Ruth Pidsley, Chloe C Y Wong, Manuela Volta, Katie Lunnon, Jonathan Mill, Leonard C Schalkwyk |
X Demographics
The data shown below were collected from the profiles of 9 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 Kingdom | 4 | 44% |
| Netherlands | 1 | 11% |
| United States | 1 | 11% |
| Unknown | 3 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 44% |
| Scientists | 3 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 11% |
| Practitioners (doctors, other healthcare professionals) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 618 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | <1% |
| United Kingdom | 5 | <1% |
| Norway | 2 | <1% |
| Brazil | 2 | <1% |
| Spain | 2 | <1% |
| Israel | 1 | <1% |
| Canada | 1 | <1% |
| Germany | 1 | <1% |
| Denmark | 1 | <1% |
| Other | 3 | <1% |
| Unknown | 595 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 168 | 27% |
| Researcher | 124 | 20% |
| Student > Master | 68 | 11% |
| Student > Bachelor | 46 | 7% |
| Student > Doctoral Student | 39 | 6% |
| Other | 88 | 14% |
| Unknown | 85 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 156 | 25% |
| Biochemistry, Genetics and Molecular Biology | 140 | 23% |
| Medicine and Dentistry | 70 | 11% |
| Neuroscience | 32 | 5% |
| Computer Science | 25 | 4% |
| Other | 69 | 11% |
| Unknown | 126 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 15 February 2023.
All research outputs
#1,997,666
of 25,837,817 outputs
Outputs from BMC Genomics
#449
of 11,367 outputs
Outputs of similar age
#16,094
of 206,442 outputs
Outputs of similar age from BMC Genomics
#7
of 172 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 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,367 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done particularly well, scoring higher than 95% 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 206,442 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 92% of its contemporaries.
We're also able to compare this research output to 172 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.