| Title |
Differential co-expression-based detection of conditional relationships in transcriptional data: comparative analysis and application to breast cancer
|
|---|---|
| Published in |
Genome Biology, November 2019
|
| DOI | 10.1186/s13059-019-1851-8 |
| Pubmed ID | |
| Authors |
Dharmesh D. Bhuva, Joseph Cursons, Gordon K. Smyth, Melissa J. Davis |
X Demographics
The data shown below were collected from the profiles of 50 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 | 17 | 34% |
| United Kingdom | 4 | 8% |
| India | 3 | 6% |
| Australia | 3 | 6% |
| Germany | 3 | 6% |
| France | 1 | 2% |
| Indonesia | 1 | 2% |
| Ireland | 1 | 2% |
| Taiwan | 1 | 2% |
| Other | 3 | 6% |
| Unknown | 13 | 26% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 31 | 62% |
| Members of the public | 18 | 36% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 93 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 24 | 26% |
| Researcher | 15 | 16% |
| Student > Master | 13 | 14% |
| Student > Bachelor | 8 | 9% |
| Student > Doctoral Student | 3 | 3% |
| Other | 12 | 13% |
| Unknown | 18 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 21 | 23% |
| Agricultural and Biological Sciences | 13 | 14% |
| Computer Science | 11 | 12% |
| Medicine and Dentistry | 4 | 4% |
| Mathematics | 4 | 4% |
| Other | 16 | 17% |
| Unknown | 24 | 26% |
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 14 May 2020.
All research outputs
#1,538,368
of 25,736,439 outputs
Outputs from Genome Biology
#1,226
of 4,509 outputs
Outputs of similar age
#32,416
of 376,272 outputs
Outputs of similar age from Genome Biology
#51
of 96 outputs
Altmetric has tracked 25,736,439 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,509 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 72% 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 376,272 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 91% of its contemporaries.
We're also able to compare this research output to 96 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.