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A late origin of the extant eukaryotic diversity: divergence time estimates using rare genomic changes

Overview of attention for article published in Biology Direct, May 2011
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)

Mentioned by

blogs
2 blogs
twitter
1 X user

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mendeley
138 Mendeley
citeulike
1 CiteULike
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Title
A late origin of the extant eukaryotic diversity: divergence time estimates using rare genomic changes
Published in
Biology Direct, May 2011
DOI 10.1186/1745-6150-6-26
Pubmed ID
Authors

Diana Chernikova, Sam Motamedi, Miklós Csürös, Eugene V Koonin, Igor B Rogozin

Abstract

Accurate estimation of the divergence time of the extant eukaryotes is a fundamentally important but extremely difficult problem owing primarily to gross violations of the molecular clock at long evolutionary distances and the lack of appropriate calibration points close to the date of interest. These difficulties are intrinsic to the dating of ancient divergence events and are reflected in the large discrepancies between estimates obtained with different approaches. Estimates of the age of Last Eukaryotic Common Ancestor (LECA) vary approximately twofold, from ~1,100 million years ago (Mya) to ~2,300 Mya.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 138 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 4 3%
United Kingdom 3 2%
France 2 1%
Norway 1 <1%
Sweden 1 <1%
Israel 1 <1%
Belgium 1 <1%
Spain 1 <1%
United States 1 <1%
Other 0 0%
Unknown 123 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 31 22%
Student > Ph. D. Student 28 20%
Student > Master 14 10%
Student > Bachelor 11 8%
Professor 9 7%
Other 18 13%
Unknown 27 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 71 51%
Biochemistry, Genetics and Molecular Biology 15 11%
Earth and Planetary Sciences 9 7%
Environmental Science 2 1%
Immunology and Microbiology 2 1%
Other 9 7%
Unknown 30 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 09 April 2019.
All research outputs
#1,721,040
of 22,664,644 outputs
Outputs from Biology Direct
#66
of 487 outputs
Outputs of similar age
#7,773
of 111,812 outputs
Outputs of similar age from Biology Direct
#1
of 1 outputs
Altmetric has tracked 22,664,644 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 487 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one has done well, scoring higher than 86% 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 111,812 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them