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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Quantitative reconstruction of leukocyte subsets using DNA methylation
|
|---|---|
| Published in |
Genome Biology, March 2014
|
| DOI | 10.1186/gb-2014-15-3-r50 |
| Pubmed ID | |
| Authors |
William P Accomando, John K Wiencke, E Andres Houseman, Heather H Nelson, Karl T Kelsey |
| Abstract |
Cell lineage-specific DNA methylation patterns distinguish normal human leukocyte subsets and can be used to detect and quantify these subsets in peripheral blood. We have developed an approach that uses DNA methylation to simultaneously quantify multiple leukocyte subsets, enabling the investigation of immune modulations in virtually any blood sample including archived samples previously precluded from such analysis. Here we assess the performance characteristics and validity of this approach. |
X Demographics
The data shown below were collected from the profiles of 7 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 | 2 | 29% |
| Canada | 1 | 14% |
| United Kingdom | 1 | 14% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 43% |
| Members of the public | 2 | 29% |
| Science communicators (journalists, bloggers, editors) | 2 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 161 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 2% |
| Norway | 1 | <1% |
| Brazil | 1 | <1% |
| Switzerland | 1 | <1% |
| New Zealand | 1 | <1% |
| United Kingdom | 1 | <1% |
| Denmark | 1 | <1% |
| Iran, Islamic Republic of | 1 | <1% |
| Unknown | 151 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 47 | 29% |
| Student > Ph. D. Student | 45 | 28% |
| Student > Bachelor | 9 | 6% |
| Professor | 8 | 5% |
| Other | 8 | 5% |
| Other | 28 | 17% |
| Unknown | 16 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 47 | 29% |
| Biochemistry, Genetics and Molecular Biology | 43 | 27% |
| Medicine and Dentistry | 26 | 16% |
| Computer Science | 10 | 6% |
| Engineering | 6 | 4% |
| Other | 7 | 4% |
| Unknown | 22 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 42. 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 12 September 2023.
All research outputs
#979,598
of 25,371,288 outputs
Outputs from Genome Biology
#691
of 4,467 outputs
Outputs of similar age
#9,482
of 235,869 outputs
Outputs of similar age from Genome Biology
#19
of 65 outputs
Altmetric has tracked 25,371,288 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 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done well, scoring higher than 84% 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 235,869 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 95% of its contemporaries.
We're also able to compare this research output to 65 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.