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Mendeley readers
Attention Score in Context
| Title |
The effects of contig length and depth on the estimation of SNP frequencies, and the relative abundance of SNPs in protein-coding and non-coding transcripts of tiger salamanders (Ambystoma tigrinum)
|
|---|---|
| Published in |
BMC Genomics, June 2012
|
| DOI | 10.1186/1471-2164-13-259 |
| Pubmed ID | |
| Authors |
Soo Hyung Eo, J Andrew DeWoody |
| Abstract |
Next-generation sequencing methods have contributed to rapid progress in the fields of genomics and population genetics. Using this high-throughput and cost-effective technology, a number of studies have estimated single nucleotide polymorphism (SNP) frequency by calculating the mean number of SNPs per unit sequence length (e.g., mean SNPs/kb). However, both read length and contig depth are highly variable and thus raise doubt about simple methods of SNP frequency estimation. |
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 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Chile | 1 | 3% |
| Australia | 1 | 3% |
| Unknown | 28 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 37% |
| Student > Master | 6 | 20% |
| Student > Ph. D. Student | 3 | 10% |
| Other | 2 | 7% |
| Professor | 2 | 7% |
| Other | 3 | 10% |
| Unknown | 3 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 14 | 47% |
| Biochemistry, Genetics and Molecular Biology | 2 | 7% |
| Business, Management and Accounting | 1 | 3% |
| Environmental Science | 1 | 3% |
| Computer Science | 1 | 3% |
| Other | 4 | 13% |
| Unknown | 7 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 June 2012.
All research outputs
#22,758,309
of 25,373,627 outputs
Outputs from BMC Genomics
#9,840
of 11,244 outputs
Outputs of similar age
#160,481
of 177,278 outputs
Outputs of similar age from BMC Genomics
#136
of 157 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 157 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.