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Mendeley readers
Attention Score in Context
| Title |
Application of permanents of square matrices for DNA identification in multiple-fatality cases
|
|---|---|
| Published in |
BMC Genomic Data, August 2013
|
| DOI | 10.1186/1471-2156-14-72 |
| Pubmed ID | |
| Authors |
Maiko Narahara, Keiji Tamaki, Ryo Yamada |
| Abstract |
DNA profiling is essential for individual identification. In forensic medicine, the likelihood ratio (LR) is commonly used to identify individuals. The LR is calculated by comparing two hypotheses for the sample DNA: that the sample DNA is identical or related to a reference DNA, and that it is randomly sampled from a population. For multiple-fatality cases, however, identification should be considered as an assignment problem, and a particular sample and reference pair should therefore be compared with other possibilities conditional on the entire dataset. |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 7% |
| Unknown | 14 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 3 | 20% |
| Researcher | 3 | 20% |
| Student > Ph. D. Student | 3 | 20% |
| Lecturer | 1 | 7% |
| Unspecified | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 3 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 4 | 27% |
| Medicine and Dentistry | 3 | 20% |
| Biochemistry, Genetics and Molecular Biology | 2 | 13% |
| Computer Science | 2 | 13% |
| Unspecified | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 3 | 20% |
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 21 August 2013.
All research outputs
#22,759,452
of 25,374,647 outputs
Outputs from BMC Genomic Data
#1,008
of 1,204 outputs
Outputs of similar age
#187,161
of 210,381 outputs
Outputs of similar age from BMC Genomic Data
#13
of 14 outputs
Altmetric has tracked 25,374,647 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 1,204 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 210,381 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 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.