| Title |
Multiple displacement amplification for complex mixtures of DNA fragments
|
|---|---|
| Published in |
BMC Genomics, September 2008
|
| DOI | 10.1186/1471-2164-9-415 |
| Pubmed ID | |
| Authors |
Muhammad Shoaib, Sonia Baconnais, Undine Mechold, Eric Le Cam, Marc Lipinski, Vasily Ogryzko |
| Abstract |
A fundamental requirement for genomic studies is the availability of genetic material of good quality and quantity. The desired quantity and quality are often hard to obtain when target DNA is composed of complex mixtures of relatively short DNA fragments. Here, we sought to develop a method to representatively amplify such complex mixtures by converting them to long linear and circular concatamers, from minute amounts of starting material, followed by phi29-based multiple displacement amplification. |
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 % |
|---|---|---|
| Congo, The Democratic Republic of the | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | <1% |
| Indonesia | 1 | <1% |
| Ireland | 1 | <1% |
| Sweden | 1 | <1% |
| United Kingdom | 1 | <1% |
| Spain | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 112 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 35 | 29% |
| Student > Ph. D. Student | 33 | 28% |
| Student > Master | 8 | 7% |
| Student > Bachelor | 8 | 7% |
| Professor | 5 | 4% |
| Other | 16 | 13% |
| Unknown | 14 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 73 | 61% |
| Biochemistry, Genetics and Molecular Biology | 20 | 17% |
| Medicine and Dentistry | 3 | 3% |
| Engineering | 2 | 2% |
| Chemistry | 2 | 2% |
| Other | 5 | 4% |
| Unknown | 14 | 12% |
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 15 March 2017.
All research outputs
#6,949,806
of 22,789,566 outputs
Outputs from BMC Genomics
#3,215
of 10,647 outputs
Outputs of similar age
#29,723
of 87,523 outputs
Outputs of similar age from BMC Genomics
#13
of 32 outputs
Altmetric has tracked 22,789,566 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 10,647 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 68% 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 87,523 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 65% of its contemporaries.
We're also able to compare this research output to 32 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 59% of its contemporaries.