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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Updating Our View of Organelle Genome Nucleotide Landscape
|
|---|---|
| Published in |
Frontiers in Genetics, January 2012
|
| DOI | 10.3389/fgene.2012.00175 |
| Pubmed ID | |
| Authors |
David Roy Smith |
| Abstract |
Organelle genomes show remarkable variation in architecture and coding content, yet their nucleotide composition is relatively unvarying across the eukaryotic domain, with most having a high adenine and thymine (AT) content. Recent studies, however, have uncovered guanine and cytosine (GC)-rich mitochondrial and plastid genomes. These sequences come from a small but eclectic list of species, including certain green plants and animals. Here, I review GC-rich organelle DNAs and the insights they have provided into the evolution of nucleotide landscape. I emphasize that GC-biased mitochondrial and plastid DNAs are more widespread than once thought, sometimes occurring together in the same species, and suggest that the forces biasing their nucleotide content can differ both among and within lineages, and may be associated with specific genome architectural features and life history traits. |
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 % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 4% |
| New Zealand | 1 | 2% |
| Italy | 1 | 2% |
| Unknown | 51 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 27% |
| Researcher | 15 | 27% |
| Student > Doctoral Student | 5 | 9% |
| Student > Postgraduate | 4 | 7% |
| Student > Bachelor | 2 | 4% |
| Other | 8 | 15% |
| Unknown | 6 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 27 | 49% |
| Biochemistry, Genetics and Molecular Biology | 13 | 24% |
| Chemistry | 2 | 4% |
| Environmental Science | 1 | 2% |
| Computer Science | 1 | 2% |
| Other | 3 | 5% |
| Unknown | 8 | 15% |
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 11 September 2012.
All research outputs
#20,166,700
of 22,678,224 outputs
Outputs from Frontiers in Genetics
#8,511
of 11,737 outputs
Outputs of similar age
#221,187
of 244,101 outputs
Outputs of similar age from Frontiers in Genetics
#195
of 255 outputs
Altmetric has tracked 22,678,224 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 11,737 research outputs from this source. They receive a mean Attention Score of 3.7. 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 244,101 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 255 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.