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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Analytical Biases Associated with GC-Content in Molecular Evolution
|
|---|---|
| Published in |
Frontiers in Genetics, February 2017
|
| DOI | 10.3389/fgene.2017.00016 |
| Pubmed ID | |
| Authors |
Jonathan Romiguier, Camille Roux |
| Abstract |
Molecular evolution is being revolutionized by high-throughput sequencing allowing an increased amount of genome-wide data available for multiple species. While base composition summarized by GC-content is one of the first metrics measured in genomes, its genomic distribution is a frequently neglected feature in downstream analyses based on DNA sequence comparisons. Here, we show how base composition heterogeneity among loci and taxa can bias common molecular evolution analyses such as phylogenetic tree reconstruction, detection of natural selection and estimation of codon usage. We then discuss the biological, technical and methodological causes of these GC-associated biases and suggest approaches to overcome them. |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 4 | 36% |
| Switzerland | 2 | 18% |
| Norway | 1 | 9% |
| United Kingdom | 1 | 9% |
| United States | 1 | 9% |
| Unknown | 2 | 18% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 9 | 82% |
| Members of the public | 2 | 18% |
Mendeley readers
The data shown below were compiled from readership statistics for 126 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Malaysia | 1 | <1% |
| New Zealand | 1 | <1% |
| Unknown | 124 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 29 | 23% |
| Student > Bachelor | 20 | 16% |
| Student > Master | 18 | 14% |
| Researcher | 12 | 10% |
| Student > Postgraduate | 8 | 6% |
| Other | 18 | 14% |
| Unknown | 21 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 49 | 39% |
| Biochemistry, Genetics and Molecular Biology | 37 | 29% |
| Immunology and Microbiology | 4 | 3% |
| Computer Science | 3 | 2% |
| Medicine and Dentistry | 3 | 2% |
| Other | 6 | 5% |
| Unknown | 24 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 17 January 2024.
All research outputs
#3,656,400
of 24,749,767 outputs
Outputs from Frontiers in Genetics
#1,154
of 13,328 outputs
Outputs of similar age
#80,759
of 464,303 outputs
Outputs of similar age from Frontiers in Genetics
#9
of 42 outputs
Altmetric has tracked 24,749,767 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,328 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done particularly well, scoring higher than 91% 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 464,303 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 82% of its contemporaries.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.