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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Next-Generation Sequencing of Human Mitochondrial Reference Genomes Uncovers High Heteroplasmy Frequency
|
|---|---|
| Published in |
PLoS Computational Biology, October 2012
|
| DOI | 10.1371/journal.pcbi.1002737 |
| Pubmed ID | |
| Authors |
Maria Ximena Sosa, I. K. Ashok Sivakumar, Samantha Maragh, Vamsi Veeramachaneni, Ramesh Hariharan, Minothi Parulekar, Karin M. Fredrikson, Timothy T. Harkins, Jeffrey Lin, Andrew B. Feldman, Pramila Tata, Georg B. Ehret, Aravinda Chakravarti |
| Abstract |
We describe methods for rapid sequencing of the entire human mitochondrial genome (mtgenome), which involve long-range PCR for specific amplification of the mtgenome, pyrosequencing, quantitative mapping of sequence reads to identify sequence variants and heteroplasmy, as well as de novo sequence assembly. These methods have been used to study 40 publicly available HapMap samples of European (CEU) and African (YRI) ancestry to demonstrate a sequencing error rate <5.63×10(-4), nucleotide diversity of 1.6×10(-3) for CEU and 3.7×10(-3) for YRI, patterns of sequence variation consistent with earlier studies, but a higher rate of heteroplasmy varying between 10% and 50%. These results demonstrate that next-generation sequencing technologies allow interrogation of the mitochondrial genome in greater depth than previously possible which may be of value in biology and medicine. |
X Demographics
The data shown below were collected from the profiles of 7 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 | 1 | 14% |
| Australia | 1 | 14% |
| Peru | 1 | 14% |
| Germany | 1 | 14% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 43% |
| Scientists | 3 | 43% |
| Science communicators (journalists, bloggers, editors) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 149 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 5% |
| Italy | 2 | 1% |
| Brazil | 2 | 1% |
| Switzerland | 1 | <1% |
| Sweden | 1 | <1% |
| South Africa | 1 | <1% |
| Ireland | 1 | <1% |
| Sri Lanka | 1 | <1% |
| United Kingdom | 1 | <1% |
| Other | 2 | 1% |
| Unknown | 130 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 45 | 30% |
| Researcher | 35 | 23% |
| Professor > Associate Professor | 12 | 8% |
| Student > Bachelor | 11 | 7% |
| Student > Master | 10 | 7% |
| Other | 25 | 17% |
| Unknown | 11 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 78 | 52% |
| Biochemistry, Genetics and Molecular Biology | 36 | 24% |
| Medicine and Dentistry | 7 | 5% |
| Computer Science | 5 | 3% |
| Engineering | 3 | 2% |
| Other | 5 | 3% |
| Unknown | 15 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 November 2023.
All research outputs
#4,893,216
of 25,604,262 outputs
Outputs from PLoS Computational Biology
#3,890
of 9,014 outputs
Outputs of similar age
#35,901
of 202,316 outputs
Outputs of similar age from PLoS Computational Biology
#35
of 113 outputs
Altmetric has tracked 25,604,262 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,014 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one has gotten more attention than average, scoring higher than 56% 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 202,316 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 113 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 69% of its contemporaries.