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X Demographics
Mendeley readers
Attention Score in Context
| Title |
ReQON: a Bioconductor package for recalibrating quality scores from next-generation sequencing data
|
|---|---|
| Published in |
BMC Bioinformatics, September 2012
|
| DOI | 10.1186/1471-2105-13-221 |
| Pubmed ID | |
| Authors |
Christopher R Cabanski, Keary Cavin, Chris Bizon, Matthew D Wilkerson, Joel S Parker, Kirk C Wilhelmsen, Charles M Perou, JS Marron, D Neil Hayes |
| Abstract |
Next-generation sequencing technologies have become important tools for genome-wide studies. However, the quality scores that are assigned to each base have been shown to be inaccurate. If the quality scores are used in downstream analyses, these inaccuracies can have a significant impact on the results. |
X Demographics
The data shown below were collected from the profiles of 8 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 | 38% |
| United Kingdom | 2 | 25% |
| Spain | 1 | 13% |
| Mexico | 1 | 13% |
| Unknown | 1 | 13% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 7 | 88% |
| Members of the public | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 5% |
| Germany | 2 | 2% |
| Brazil | 2 | 2% |
| Sweden | 2 | 2% |
| Switzerland | 1 | 1% |
| Romania | 1 | 1% |
| Portugal | 1 | 1% |
| Japan | 1 | 1% |
| Spain | 1 | 1% |
| Other | 0 | 0% |
| Unknown | 66 | 81% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 27 | 33% |
| Student > Ph. D. Student | 15 | 19% |
| Student > Master | 10 | 12% |
| Professor > Associate Professor | 7 | 9% |
| Student > Doctoral Student | 4 | 5% |
| Other | 14 | 17% |
| Unknown | 4 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 39 | 48% |
| Biochemistry, Genetics and Molecular Biology | 13 | 16% |
| Computer Science | 12 | 15% |
| Mathematics | 3 | 4% |
| Engineering | 3 | 4% |
| Other | 5 | 6% |
| Unknown | 6 | 7% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 20 December 2013.
All research outputs
#6,381,374
of 22,678,224 outputs
Outputs from BMC Bioinformatics
#2,468
of 7,249 outputs
Outputs of similar age
#46,152
of 169,085 outputs
Outputs of similar age from BMC Bioinformatics
#27
of 98 outputs
Altmetric has tracked 22,678,224 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 7,249 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 64% 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 169,085 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 71% of its contemporaries.
We're also able to compare this research output to 98 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 69% of its contemporaries.