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Mendeley readers
Attention Score in Context
| Title |
Patterns of sequencing coverage bias revealed by ultra-deep sequencing of vertebrate mitochondria
|
|---|---|
| Published in |
BMC Genomics, June 2014
|
| DOI | 10.1186/1471-2164-15-467 |
| Pubmed ID | |
| Authors |
Robert Ekblom, Linnéa Smeds, Hans Ellegren |
| Abstract |
Genome and transcriptome sequencing applications that rely on variation in sequence depth can be negatively affected if there are systematic biases in coverage. We have investigated patterns of local variation in sequencing coverage by utilising ultra-deep sequencing (>100,000X) of mtDNA obtained during sequencing of two vertebrate genomes, wolverine (Gulo gulo) and collared flycatcher (Ficedula albicollis). With such extreme depth, stochastic variation in coverage should be negligible, which allows us to provide a very detailed, fine-scale picture of sequence dependent coverage variation and sequencing error rates. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 141 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 3% |
| Switzerland | 1 | <1% |
| Germany | 1 | <1% |
| Spain | 1 | <1% |
| Netherlands | 1 | <1% |
| Unknown | 133 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 36 | 26% |
| Researcher | 28 | 20% |
| Student > Master | 20 | 14% |
| Student > Bachelor | 10 | 7% |
| Other | 8 | 6% |
| Other | 23 | 16% |
| Unknown | 16 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 58 | 41% |
| Biochemistry, Genetics and Molecular Biology | 39 | 28% |
| Medicine and Dentistry | 6 | 4% |
| Immunology and Microbiology | 5 | 4% |
| Environmental Science | 2 | 1% |
| Other | 10 | 7% |
| Unknown | 21 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 13 August 2014.
All research outputs
#2,732,824
of 25,374,647 outputs
Outputs from BMC Genomics
#793
of 11,244 outputs
Outputs of similar age
#26,726
of 243,582 outputs
Outputs of similar age from BMC Genomics
#20
of 278 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 92% 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 243,582 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 278 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 92% of its contemporaries.