| Title |
The rise of the distributions: why non-normality is important for understanding the transcriptome and beyond
|
|---|---|
| Published in |
Biophysical Reviews, January 2019
|
| DOI | 10.1007/s12551-018-0494-4 |
| Pubmed ID | |
| Authors |
Jessica C. Mar |
X Demographics
The data shown below were collected from the profiles of 25 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 | 6 | 24% |
| Singapore | 2 | 8% |
| Norway | 1 | 4% |
| New Zealand | 1 | 4% |
| Hong Kong | 1 | 4% |
| Curaçao | 1 | 4% |
| China | 1 | 4% |
| United Kingdom | 1 | 4% |
| United States | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 10 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 15 | 60% |
| Members of the public | 9 | 36% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 58 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 26% |
| Student > Master | 10 | 17% |
| Researcher | 9 | 16% |
| Student > Bachelor | 4 | 7% |
| Student > Doctoral Student | 2 | 3% |
| Other | 7 | 12% |
| Unknown | 11 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 14 | 24% |
| Biochemistry, Genetics and Molecular Biology | 12 | 21% |
| Computer Science | 5 | 9% |
| Medicine and Dentistry | 5 | 9% |
| Unspecified | 2 | 3% |
| Other | 9 | 16% |
| Unknown | 11 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 30 May 2019.
All research outputs
#2,301,496
of 23,650,645 outputs
Outputs from Biophysical Reviews
#28
of 826 outputs
Outputs of similar age
#54,839
of 439,933 outputs
Outputs of similar age from Biophysical Reviews
#3
of 16 outputs
Altmetric has tracked 23,650,645 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 826 research outputs from this source. They receive a mean Attention Score of 2.8. This one has done particularly well, scoring higher than 96% 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 439,933 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 87% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.