| Title |
NGmerge: merging paired-end reads via novel empirically-derived models of sequencing errors
|
|---|---|
| Published in |
BMC Bioinformatics, December 2018
|
| DOI | 10.1186/s12859-018-2579-2 |
| Pubmed ID | |
| Authors |
John M. Gaspar |
X Demographics
The data shown below were collected from the profiles of 5 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 | 1 | 20% |
| Unknown | 4 | 80% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 60% |
| Members of the public | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 153 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 153 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 32 | 21% |
| Researcher | 28 | 18% |
| Student > Master | 23 | 15% |
| Student > Bachelor | 15 | 10% |
| Student > Doctoral Student | 7 | 5% |
| Other | 11 | 7% |
| Unknown | 37 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 55 | 36% |
| Agricultural and Biological Sciences | 22 | 14% |
| Immunology and Microbiology | 5 | 3% |
| Medicine and Dentistry | 5 | 3% |
| Computer Science | 4 | 3% |
| Other | 12 | 8% |
| Unknown | 50 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 March 2023.
All research outputs
#6,790,980
of 25,483,400 outputs
Outputs from BMC Bioinformatics
#2,328
of 7,708 outputs
Outputs of similar age
#129,291
of 444,412 outputs
Outputs of similar age from BMC Bioinformatics
#56
of 189 outputs
Altmetric has tracked 25,483,400 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 7,708 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 gotten more attention than average, scoring higher than 69% 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 444,412 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 189 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 70% of its contemporaries.