| Title |
Magic-BLAST, an accurate RNA-seq aligner for long and short reads
|
|---|---|
| Published in |
BMC Bioinformatics, July 2019
|
| DOI | 10.1186/s12859-019-2996-x |
| Pubmed ID | |
| Authors |
Grzegorz M. Boratyn, Jean Thierry-Mieg, Danielle Thierry-Mieg, Ben Busby, Thomas L. Madden |
X Demographics
The data shown below were collected from the profiles of 64 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 | 12 | 19% |
| United Kingdom | 5 | 8% |
| India | 4 | 6% |
| South Africa | 2 | 3% |
| France | 2 | 3% |
| Japan | 2 | 3% |
| Belgium | 1 | 2% |
| Norway | 1 | 2% |
| Switzerland | 1 | 2% |
| Other | 14 | 22% |
| Unknown | 20 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 36 | 56% |
| Members of the public | 27 | 42% |
| Practitioners (doctors, other healthcare professionals) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 327 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 327 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 55 | 17% |
| Student > Ph. D. Student | 50 | 15% |
| Student > Bachelor | 47 | 14% |
| Student > Master | 29 | 9% |
| Student > Doctoral Student | 21 | 6% |
| Other | 37 | 11% |
| Unknown | 88 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 95 | 29% |
| Agricultural and Biological Sciences | 78 | 24% |
| Computer Science | 14 | 4% |
| Engineering | 7 | 2% |
| Environmental Science | 7 | 2% |
| Other | 29 | 9% |
| Unknown | 97 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 51. 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 26 November 2022.
All research outputs
#845,181
of 25,852,155 outputs
Outputs from BMC Bioinformatics
#49
of 7,759 outputs
Outputs of similar age
#17,673
of 360,480 outputs
Outputs of similar age from BMC Bioinformatics
#1
of 148 outputs
Altmetric has tracked 25,852,155 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,759 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has done particularly well, scoring higher than 99% 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 360,480 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 148 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 99% of its contemporaries.