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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Topconfects: a package for confident effect sizes in differential expression analysis provides a more biologically useful ranked gene list
|
|---|---|
| Published in |
Genome Biology, March 2019
|
| DOI | 10.1186/s13059-019-1674-7 |
| Pubmed ID | |
| Authors |
Paul F. Harrison, Andrew D. Pattison, David R. Powell, Traude H. Beilharz |
X Demographics
The data shown below were collected from the profiles of 79 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 21 | 27% |
| United States | 10 | 13% |
| Germany | 4 | 5% |
| New Zealand | 3 | 4% |
| India | 2 | 3% |
| China | 2 | 3% |
| Vietnam | 2 | 3% |
| United Kingdom | 2 | 3% |
| Korea, Republic of | 1 | 1% |
| Other | 8 | 10% |
| Unknown | 24 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 50 | 63% |
| Members of the public | 22 | 28% |
| Science communicators (journalists, bloggers, editors) | 5 | 6% |
| Practitioners (doctors, other healthcare professionals) | 1 | 1% |
| Unknown | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 49 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 27% |
| Student > Ph. D. Student | 8 | 16% |
| Student > Bachelor | 3 | 6% |
| Student > Doctoral Student | 3 | 6% |
| Student > Postgraduate | 2 | 4% |
| Other | 5 | 10% |
| Unknown | 15 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 11 | 22% |
| Biochemistry, Genetics and Molecular Biology | 9 | 18% |
| Computer Science | 3 | 6% |
| Neuroscience | 3 | 6% |
| Arts and Humanities | 2 | 4% |
| Other | 6 | 12% |
| Unknown | 15 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 45. 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 24 November 2022.
All research outputs
#919,814
of 25,385,509 outputs
Outputs from Genome Biology
#641
of 4,468 outputs
Outputs of similar age
#21,354
of 364,178 outputs
Outputs of similar age from Genome Biology
#22
of 59 outputs
Altmetric has tracked 25,385,509 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 4,468 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 done well, scoring higher than 85% 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 364,178 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 94% of its contemporaries.
We're also able to compare this research output to 59 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 62% of its contemporaries.