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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Quake: quality-aware detection and correction of sequencing errors
|
|---|---|
| Published in |
Genome Biology, November 2010
|
| DOI | 10.1186/gb-2010-11-11-r116 |
| Pubmed ID | |
| Authors |
David R Kelley, Michael C Schatz, Steven L Salzberg |
X Demographics
The data shown below were collected from the profiles of 10 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 | 1 | 10% |
| Unknown | 9 | 90% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 50% |
| Scientists | 4 | 40% |
| Science communicators (journalists, bloggers, editors) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 678 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 29 | 4% |
| Germany | 14 | 2% |
| United Kingdom | 8 | 1% |
| France | 5 | <1% |
| Italy | 4 | <1% |
| Korea, Republic of | 3 | <1% |
| Switzerland | 3 | <1% |
| Brazil | 3 | <1% |
| Argentina | 3 | <1% |
| Other | 32 | 5% |
| Unknown | 574 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 184 | 27% |
| Researcher | 183 | 27% |
| Student > Master | 86 | 13% |
| Student > Bachelor | 42 | 6% |
| Professor > Associate Professor | 30 | 4% |
| Other | 113 | 17% |
| Unknown | 40 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 383 | 56% |
| Computer Science | 87 | 13% |
| Biochemistry, Genetics and Molecular Biology | 84 | 12% |
| Engineering | 15 | 2% |
| Medicine and Dentistry | 14 | 2% |
| Other | 43 | 6% |
| Unknown | 52 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. 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 04 April 2023.
All research outputs
#1,897,135
of 25,837,817 outputs
Outputs from Genome Biology
#1,567
of 4,513 outputs
Outputs of similar age
#9,805
of 194,342 outputs
Outputs of similar age from Genome Biology
#8
of 26 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,513 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.7. This one has gotten more attention than average, scoring higher than 65% 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 194,342 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 94% of its contemporaries.
We're also able to compare this research output to 26 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.