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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Emulsion PCR-coupled target enrichment: An effective fishing method for high-throughput sequencing of poorly preserved ancient DNA
|
|---|---|
| Published in |
Gene, July 2013
|
| DOI | 10.1016/j.gene.2013.07.040 |
| Pubmed ID | |
| Authors |
Makio Kihana, Fuzuki Mizuno, Rikai Sawafuji, Li Wang, Shintaroh Ueda |
| Abstract |
Due to the difficulties in deep sequencing, high-throughput sequencing of ancient DNA has been limited to exceptionally well-preserved ancient materials. The primary factor is microbial attack popularly observed in the buried materials, and it causes drastic increase in relative ratio of microbial DNA in the extracted DNA. We present a unified strategy in which emulsion PCR is coupled with target enrichment followed by next-generation sequencing. The method made it possible to obtain efficiently non-duplicated reads mapped to target sequences of interest, and this can achieve deep and reliable sequencing of ancient DNA from typical materials, even though poorly preserved. |
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 % |
|---|---|---|
| Mexico | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 5% |
| Unknown | 40 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 24% |
| Researcher | 10 | 24% |
| Student > Master | 8 | 19% |
| Student > Doctoral Student | 2 | 5% |
| Other | 2 | 5% |
| Other | 6 | 14% |
| Unknown | 4 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 22 | 52% |
| Biochemistry, Genetics and Molecular Biology | 10 | 24% |
| Arts and Humanities | 2 | 5% |
| Social Sciences | 1 | 2% |
| Unknown | 7 | 17% |
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 09 June 2016.
All research outputs
#7,960,052
of 25,373,627 outputs
Outputs from Gene
#3,088
of 10,913 outputs
Outputs of similar age
#64,769
of 210,049 outputs
Outputs of similar age from Gene
#17
of 85 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 10,913 research outputs from this source. They receive a mean Attention Score of 3.8. This one has gotten more attention than average, scoring higher than 70% 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 210,049 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 67% of its contemporaries.
We're also able to compare this research output to 85 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.