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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Revisit linear regression-based deconvolution methods for tumor gene expression data
|
|---|---|
| Published in |
Genome Biology, July 2017
|
| DOI | 10.1186/s13059-017-1256-5 |
| Pubmed ID | |
| Authors |
Bo Li, Jun S. Liu, X. Shirley Liu |
X Demographics
The data shown below were collected from the profiles of 24 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 | 11 | 46% |
| Israel | 2 | 8% |
| Canada | 2 | 8% |
| United Kingdom | 2 | 8% |
| Australia | 1 | 4% |
| China | 1 | 4% |
| Germany | 1 | 4% |
| Unknown | 4 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 17 | 71% |
| Members of the public | 5 | 21% |
| Practitioners (doctors, other healthcare professionals) | 2 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 155 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 155 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 45 | 29% |
| Researcher | 35 | 23% |
| Student > Master | 16 | 10% |
| Student > Bachelor | 14 | 9% |
| Student > Postgraduate | 10 | 6% |
| Other | 18 | 12% |
| Unknown | 17 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 49 | 32% |
| Agricultural and Biological Sciences | 44 | 28% |
| Computer Science | 11 | 7% |
| Engineering | 8 | 5% |
| Mathematics | 7 | 5% |
| Other | 13 | 8% |
| Unknown | 23 | 15% |
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 01 November 2018.
All research outputs
#2,470,793
of 25,382,440 outputs
Outputs from Genome Biology
#2,011
of 4,468 outputs
Outputs of similar age
#45,236
of 325,782 outputs
Outputs of similar age from Genome Biology
#39
of 61 outputs
Altmetric has tracked 25,382,440 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 4,468 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 gotten more attention than average, scoring higher than 54% 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 325,782 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 61 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.