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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Finding a suitable library size to call variants in RNA-Seq
|
|---|---|
| Published in |
BMC Bioinformatics, December 2020
|
| DOI | 10.1186/s12859-020-03860-4 |
| Pubmed ID | |
| Authors |
Anna Quaglieri, Christoffer Flensburg, Terence P. Speed, Ian J. Majewski |
X Demographics
The data shown below were collected from the profiles of 14 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 | 3 | 21% |
| Australia | 2 | 14% |
| United Kingdom | 2 | 14% |
| India | 1 | 7% |
| New Zealand | 1 | 7% |
| Sweden | 1 | 7% |
| Switzerland | 1 | 7% |
| Unknown | 3 | 21% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 11 | 79% |
| Members of the public | 3 | 21% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 41 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 24% |
| Student > Bachelor | 7 | 17% |
| Student > Doctoral Student | 5 | 12% |
| Student > Master | 4 | 10% |
| Researcher | 4 | 10% |
| Other | 4 | 10% |
| Unknown | 7 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 14 | 34% |
| Agricultural and Biological Sciences | 9 | 22% |
| Computer Science | 3 | 7% |
| Engineering | 2 | 5% |
| Medicine and Dentistry | 2 | 5% |
| Other | 3 | 7% |
| Unknown | 8 | 20% |
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 31 December 2020.
All research outputs
#2,263,346
of 23,344,526 outputs
Outputs from BMC Bioinformatics
#619
of 7,388 outputs
Outputs of similar age
#63,925
of 509,496 outputs
Outputs of similar age from BMC Bioinformatics
#14
of 164 outputs
Altmetric has tracked 23,344,526 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 7,388 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 91% 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 509,496 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 164 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.