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X Demographics
Mendeley readers
Attention Score in Context
| Title |
2passtools: two-pass alignment using machine-learning-filtered splice junctions increases the accuracy of intron detection in long-read RNA sequencing
|
|---|---|
| Published in |
Genome Biology, March 2021
|
| DOI | 10.1186/s13059-021-02296-0 |
| Pubmed ID | |
| Authors |
Matthew T. Parker, Katarzyna Knop, Geoffrey J. Barton, Gordon G. Simpson |
X Demographics
The data shown below were collected from the profiles of 88 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 Kingdom | 16 | 18% |
| United States | 11 | 13% |
| Germany | 10 | 11% |
| France | 5 | 6% |
| Australia | 4 | 5% |
| Spain | 2 | 2% |
| Canada | 2 | 2% |
| Sweden | 2 | 2% |
| India | 2 | 2% |
| Other | 6 | 7% |
| Unknown | 28 | 32% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 49 | 56% |
| Members of the public | 35 | 40% |
| Science communicators (journalists, bloggers, editors) | 3 | 3% |
| Practitioners (doctors, other healthcare professionals) | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 51 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 24% |
| Student > Ph. D. Student | 8 | 16% |
| Student > Master | 4 | 8% |
| Student > Bachelor | 3 | 6% |
| Student > Doctoral Student | 2 | 4% |
| Other | 6 | 12% |
| Unknown | 16 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 15 | 29% |
| Agricultural and Biological Sciences | 5 | 10% |
| Computer Science | 3 | 6% |
| Engineering | 3 | 6% |
| Environmental Science | 1 | 2% |
| Other | 5 | 10% |
| Unknown | 19 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 59. 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 04 April 2021.
All research outputs
#718,321
of 25,440,205 outputs
Outputs from Genome Biology
#466
of 4,475 outputs
Outputs of similar age
#20,858
of 451,626 outputs
Outputs of similar age from Genome Biology
#13
of 70 outputs
Altmetric has tracked 25,440,205 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,475 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 89% 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 451,626 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 95% of its contemporaries.
We're also able to compare this research output to 70 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.