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X Demographics
Mendeley readers
Attention Score in Context
| Title |
DNA methylation arrays as surrogate measures of cell mixture distribution
|
|---|---|
| Published in |
BMC Bioinformatics, May 2012
|
| DOI | 10.1186/1471-2105-13-86 |
| Pubmed ID | |
| Authors |
Eugene Andres Houseman, William P Accomando, Devin C Koestler, Brock C Christensen, Carmen J Marsit, Heather H Nelson, John K Wiencke, Karl T Kelsey |
X Demographics
The data shown below were collected from the profiles of 8 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 | 50% |
| United States | 2 | 25% |
| Unknown | 2 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 3 | 38% |
| Members of the public | 3 | 38% |
| Scientists | 2 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,211 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 18 | 1% |
| United Kingdom | 8 | <1% |
| Germany | 2 | <1% |
| Canada | 2 | <1% |
| Belgium | 2 | <1% |
| Hong Kong | 1 | <1% |
| Sweden | 1 | <1% |
| Israel | 1 | <1% |
| Brazil | 1 | <1% |
| Other | 8 | <1% |
| Unknown | 1167 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 319 | 26% |
| Researcher | 277 | 23% |
| Student > Master | 113 | 9% |
| Student > Bachelor | 92 | 8% |
| Student > Doctoral Student | 74 | 6% |
| Other | 163 | 13% |
| Unknown | 173 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 276 | 23% |
| Biochemistry, Genetics and Molecular Biology | 257 | 21% |
| Medicine and Dentistry | 154 | 13% |
| Computer Science | 51 | 4% |
| Neuroscience | 34 | 3% |
| Other | 186 | 15% |
| Unknown | 253 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 51. 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 21 March 2024.
All research outputs
#842,000
of 25,837,817 outputs
Outputs from BMC Bioinformatics
#48
of 7,763 outputs
Outputs of similar age
#4,087
of 179,324 outputs
Outputs of similar age from BMC Bioinformatics
#2
of 101 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 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
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 done particularly well, scoring higher than 99% 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 179,324 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 96% of its contemporaries.
We're also able to compare this research output to 101 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 98% of its contemporaries.