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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Sierra: discovery of differential transcript usage from polyA-captured single-cell RNA-seq data
|
|---|---|
| Published in |
Genome Biology, July 2020
|
| DOI | 10.1186/s13059-020-02071-7 |
| Pubmed ID | |
| Authors |
Ralph Patrick, David T. Humphreys, Vaibhao Janbandhu, Alicia Oshlack, Joshua W.K. Ho, Richard P. Harvey, Kitty K. Lo |
X Demographics
The data shown below were collected from the profiles of 60 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 | 16 | 27% |
| United States | 13 | 22% |
| United Kingdom | 4 | 7% |
| Spain | 3 | 5% |
| Hong Kong | 2 | 3% |
| France | 1 | 2% |
| New Zealand | 1 | 2% |
| Brazil | 1 | 2% |
| India | 1 | 2% |
| Other | 7 | 12% |
| Unknown | 11 | 18% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 33 | 55% |
| Members of the public | 25 | 42% |
| Practitioners (doctors, other healthcare professionals) | 1 | 2% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 105 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 29 | 28% |
| Researcher | 23 | 22% |
| Student > Bachelor | 11 | 10% |
| Professor > Associate Professor | 6 | 6% |
| Student > Master | 6 | 6% |
| Other | 14 | 13% |
| Unknown | 16 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 39 | 37% |
| Agricultural and Biological Sciences | 15 | 14% |
| Neuroscience | 9 | 9% |
| Computer Science | 8 | 8% |
| Engineering | 7 | 7% |
| Other | 8 | 8% |
| Unknown | 19 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 31. 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 23 September 2020.
All research outputs
#1,285,319
of 25,769,258 outputs
Outputs from Genome Biology
#974
of 4,507 outputs
Outputs of similar age
#36,478
of 432,114 outputs
Outputs of similar age from Genome Biology
#30
of 89 outputs
Altmetric has tracked 25,769,258 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,507 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 78% 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 432,114 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 89 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 66% of its contemporaries.