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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A high-throughput Sanger strategy for human mitochondrial genome sequencing
|
|---|---|
| Published in |
BMC Genomics, December 2013
|
| DOI | 10.1186/1471-2164-14-881 |
| Pubmed ID | |
| Authors |
Elizabeth A Lyons, Melissa K Scheible, Kimberly Sturk-Andreaggi, Jodi A Irwin, Rebecca S Just |
| Abstract |
A population reference database of complete human mitochondrial genome (mtGenome) sequences is needed to enable the use of mitochondrial DNA (mtDNA) coding region data in forensic casework applications. However, the development of entire mtGenome haplotypes to forensic data quality standards is difficult and laborious. A Sanger-based amplification and sequencing strategy that is designed for automated processing, yet routinely produces high quality sequences, is needed to facilitate high-volume production of these mtGenome data sets. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 50% |
| Spain | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 50% |
| Members of the public | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| Sweden | 1 | 2% |
| Switzerland | 1 | 2% |
| Unknown | 59 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 17 | 27% |
| Student > Ph. D. Student | 12 | 19% |
| Student > Master | 5 | 8% |
| Student > Doctoral Student | 4 | 6% |
| Student > Bachelor | 3 | 5% |
| Other | 9 | 15% |
| Unknown | 12 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 22 | 35% |
| Agricultural and Biological Sciences | 13 | 21% |
| Medicine and Dentistry | 3 | 5% |
| Immunology and Microbiology | 3 | 5% |
| Computer Science | 2 | 3% |
| Other | 4 | 6% |
| Unknown | 15 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 07 February 2014.
All research outputs
#12,696,284
of 22,736,112 outputs
Outputs from BMC Genomics
#4,385
of 10,630 outputs
Outputs of similar age
#157,160
of 307,527 outputs
Outputs of similar age from BMC Genomics
#180
of 455 outputs
Altmetric has tracked 22,736,112 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,630 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 57% 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 307,527 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 455 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.