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Attention Score in Context
Title |
A multilocus timescale for oomycete evolution estimated under three distinct molecular clock models
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Published in |
BMC Ecology and Evolution, May 2014
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DOI | 10.1186/1471-2148-14-101 |
Pubmed ID | |
Authors |
Nahill H Matari, Jaime E Blair |
Abstract |
Molecular clock methodologies allow for the estimation of divergence times across a variety of organisms; this can be particularly useful for groups lacking robust fossil histories, such as microbial eukaryotes with few distinguishing morphological traits. Here we have used a Bayesian molecular clock method under three distinct clock models to estimate divergence times within oomycetes, a group of fungal-like eukaryotes that are ubiquitous in the environment and include a number of devastating pathogenic species. The earliest fossil evidence for oomycetes comes from the Lower Devonian (~400 Ma), however the taxonomic affinities of these fossils are unclear. |
X Demographics
The data shown below were collected from the profiles of 9 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 Kingdom | 3 | 33% |
Belgium | 1 | 11% |
France | 1 | 11% |
Germany | 1 | 11% |
Unknown | 3 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 5 | 56% |
Members of the public | 3 | 33% |
Practitioners (doctors, other healthcare professionals) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 2% |
United Kingdom | 1 | 1% |
Hong Kong | 1 | 1% |
Germany | 1 | 1% |
Unknown | 93 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 23 | 23% |
Researcher | 21 | 21% |
Student > Master | 12 | 12% |
Student > Bachelor | 11 | 11% |
Professor > Associate Professor | 5 | 5% |
Other | 13 | 13% |
Unknown | 13 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 54 | 55% |
Biochemistry, Genetics and Molecular Biology | 13 | 13% |
Immunology and Microbiology | 3 | 3% |
Environmental Science | 2 | 2% |
Earth and Planetary Sciences | 2 | 2% |
Other | 8 | 8% |
Unknown | 16 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 29 May 2014.
All research outputs
#6,997,226
of 25,373,627 outputs
Outputs from BMC Ecology and Evolution
#1,570
of 3,714 outputs
Outputs of similar age
#62,825
of 241,837 outputs
Outputs of similar age from BMC Ecology and Evolution
#27
of 81 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 3,714 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. 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 241,837 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 81 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 66% of its contemporaries.