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Attention Score in Context
| Title |
Differential DNA extraction of challenging simulated sexual-assault samples: a Swiss collaborative study
|
|---|---|
| Published in |
Investigative Genetics, May 2011
|
| DOI | 10.1186/2041-2223-2-11 |
| Pubmed ID | |
| Authors |
Séverine Vuichard, Urs Borer, Michel Bottinelli, Christian Cossu, Naseem Malik, Verena Meier, Christian Gehrig, Andrea Sulzer, Marie-Laure Morerod, Vincent Castella |
| Abstract |
In sexual-assault cases, autosomal DNA analysis of gynecological swabs is a challenge, as the presence of a large quantity of female material may prevent detection of the male DNA. A solution to this problem is differential DNA extraction, but there is no established best practice for this. We decided to test the efficacy of a number of different protocols on simulated casework samples. Four difficult samples were sent to the nine Swiss laboratories active in forensic genetics. In each laboratory, staff used their routine protocols to separate the epithelial-cell fraction, enriched with the non-sperm DNA, from the sperm fraction. DNA extracts were then sent to the organizing laboratory for analysis. Estimates of male:female DNA ratio without differential DNA extraction ranged from 1:38 to 1:339, depending on the semen used to prepare the samples. After differential DNA extraction, most of the ratios ranged from 1:12 to 9:1, allowing detection of the male DNA. Compared with direct DNA extraction, cell separation resulted in losses of 94-98% of the male DNA. As expected, more male DNA was generally present in the sperm than in the epithelial-cell fraction. However, for about 30% of the samples, the reverse trend was seen. The recovery of male and female DNA was highly variable, depending on the laboratory involved. An experimental design similar to the one used in this study may be of assistance for local protocol testing and improvement. |
Mendeley readers
The data shown below were compiled from readership statistics for 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Hungary | 1 | <1% |
| Germany | 1 | <1% |
| Switzerland | 1 | <1% |
| New Zealand | 1 | <1% |
| Denmark | 1 | <1% |
| Unknown | 98 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 27 | 26% |
| Student > Bachelor | 15 | 15% |
| Researcher | 12 | 12% |
| Student > Ph. D. Student | 11 | 11% |
| Other | 7 | 7% |
| Other | 11 | 11% |
| Unknown | 20 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 33 | 32% |
| Biochemistry, Genetics and Molecular Biology | 28 | 27% |
| Chemistry | 5 | 5% |
| Medicine and Dentistry | 5 | 5% |
| Nursing and Health Professions | 2 | 2% |
| Other | 8 | 8% |
| Unknown | 22 | 21% |
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 10 February 2015.
All research outputs
#20,241,019
of 22,768,097 outputs
Outputs from Investigative Genetics
#95
of 97 outputs
Outputs of similar age
#103,026
of 110,332 outputs
Outputs of similar age from Investigative Genetics
#3
of 3 outputs
Altmetric has tracked 22,768,097 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 97 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.2. 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 3 others from the same source and published within six weeks on either side of this one.