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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Edge effects in calling variants from targeted amplicon sequencing
|
|---|---|
| Published in |
BMC Genomics, December 2014
|
| DOI | 10.1186/1471-2164-15-1073 |
| Pubmed ID | |
| Authors |
Ravi Vijaya Satya, John DiCarlo |
| Abstract |
Analysis of targeted amplicon sequencing data presents some unique challenges in comparison to the analysis of random fragment sequencing data. Whereas reads from randomly fragmented DNA have arbitrary start positions, the reads from amplicon sequencing have fixed start positions that coincide with the amplicon boundaries. As a result, any variants near the amplicon boundaries can cause misalignments of multiple reads that can ultimately lead to false-positive or false-negative variant calls. |
X Demographics
The data shown below were collected from the profiles of 6 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 | 17% |
| Sweden | 1 | 17% |
| Germany | 1 | 17% |
| United Kingdom | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 50% |
| Scientists | 3 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 3% |
| United Kingdom | 2 | 3% |
| Korea, Republic of | 1 | 1% |
| Ghana | 1 | 1% |
| Sweden | 1 | 1% |
| China | 1 | 1% |
| Canada | 1 | 1% |
| Unknown | 71 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 32 | 40% |
| Student > Master | 12 | 15% |
| Other | 10 | 13% |
| Student > Ph. D. Student | 10 | 13% |
| Student > Bachelor | 3 | 4% |
| Other | 4 | 5% |
| Unknown | 9 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 38 | 48% |
| Biochemistry, Genetics and Molecular Biology | 21 | 26% |
| Medicine and Dentistry | 3 | 4% |
| Mathematics | 1 | 1% |
| Computer Science | 1 | 1% |
| Other | 3 | 4% |
| Unknown | 13 | 16% |
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 12 December 2014.
All research outputs
#8,262,107
of 25,374,647 outputs
Outputs from BMC Genomics
#3,703
of 11,244 outputs
Outputs of similar age
#107,043
of 367,050 outputs
Outputs of similar age from BMC Genomics
#109
of 299 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. 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 367,050 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 69% of its contemporaries.
We're also able to compare this research output to 299 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 62% of its contemporaries.