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X Demographics
Mendeley readers
Attention Score in Context
| Title |
KvarQ: targeted and direct variant calling from fastq reads of bacterial genomes
|
|---|---|
| Published in |
BMC Genomics, October 2014
|
| DOI | 10.1186/1471-2164-15-881 |
| Pubmed ID | |
| Authors |
Andreas Steiner, David Stucki, Mireia Coscolla, Sonia Borrell, Sebastien Gagneux |
| Abstract |
High-throughput DNA sequencing produces vast amounts of data, with millions of short reads that usually have to be mapped to a reference genome or newly assembled. Both reference-based mapping and de novo assembly are computationally intensive, generating large intermediary data files, and thus require bioinformatics skills that are often lacking in the laboratories producing the data. Moreover, many research and practical applications in microbiology require only a small fraction of the whole genome data. |
X Demographics
The data shown below were collected from the profiles of 4 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 | 2 | 50% |
| Sweden | 1 | 25% |
| Germany | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Scientists | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 172 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | <1% |
| Australia | 1 | <1% |
| Sweden | 1 | <1% |
| United Kingdom | 1 | <1% |
| Canada | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 166 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 40 | 23% |
| Student > Master | 30 | 17% |
| Student > Ph. D. Student | 25 | 15% |
| Student > Bachelor | 16 | 9% |
| Other | 10 | 6% |
| Other | 29 | 17% |
| Unknown | 22 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 53 | 31% |
| Biochemistry, Genetics and Molecular Biology | 26 | 15% |
| Medicine and Dentistry | 20 | 12% |
| Immunology and Microbiology | 15 | 9% |
| Computer Science | 12 | 7% |
| Other | 15 | 9% |
| Unknown | 31 | 18% |
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 21 April 2020.
All research outputs
#6,032,295
of 22,765,347 outputs
Outputs from BMC Genomics
#2,520
of 10,639 outputs
Outputs of similar age
#64,171
of 255,208 outputs
Outputs of similar age from BMC Genomics
#39
of 210 outputs
Altmetric has tracked 22,765,347 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 10,639 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 75% 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 255,208 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 74% of its contemporaries.
We're also able to compare this research output to 210 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.