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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Transformation of alignment files improves performance of variant callers for long-read RNA sequencing data
|
|---|---|
| Published in |
Genome Biology, April 2023
|
| DOI | 10.1186/s13059-023-02923-y |
| Pubmed ID | |
| Authors |
Vladimir B. C. de Souza, Ben T. Jordan, Elizabeth Tseng, Elizabeth A. Nelson, Karen K. Hirschi, Gloria Sheynkman, Mark D. Robinson |
X Demographics
The data shown below were collected from the profiles of 41 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 | 8 | 20% |
| United Kingdom | 3 | 7% |
| Spain | 2 | 5% |
| Switzerland | 2 | 5% |
| France | 1 | 2% |
| China | 1 | 2% |
| Mexico | 1 | 2% |
| Germany | 1 | 2% |
| Unknown | 22 | 54% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 21 | 51% |
| Scientists | 19 | 46% |
| Practitioners (doctors, other healthcare professionals) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 22% |
| Researcher | 3 | 17% |
| Student > Master | 2 | 11% |
| Student > Doctoral Student | 1 | 6% |
| Student > Bachelor | 1 | 6% |
| Other | 4 | 22% |
| Unknown | 3 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 8 | 44% |
| Agricultural and Biological Sciences | 4 | 22% |
| Unspecified | 1 | 6% |
| Engineering | 1 | 6% |
| Unknown | 4 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 26. 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 02 July 2023.
All research outputs
#1,490,183
of 25,396,120 outputs
Outputs from Genome Biology
#1,189
of 4,470 outputs
Outputs of similar age
#30,326
of 410,959 outputs
Outputs of similar age from Genome Biology
#24
of 86 outputs
Altmetric has tracked 25,396,120 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 4,470 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 73% 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 410,959 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 92% of its contemporaries.
We're also able to compare this research output to 86 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 73% of its contemporaries.