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A maximum pseudo-likelihood approach for estimating species trees under the coalescent model

Overview of attention for article published in BMC Ecology and Evolution, October 2010
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Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
568 Dimensions

Readers on

mendeley
407 Mendeley
citeulike
3 CiteULike
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Title
A maximum pseudo-likelihood approach for estimating species trees under the coalescent model
Published in
BMC Ecology and Evolution, October 2010
DOI 10.1186/1471-2148-10-302
Pubmed ID
Authors

Liang Liu, Lili Yu, Scott V Edwards

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 407 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 13 3%
Brazil 6 1%
Spain 4 <1%
United Kingdom 4 <1%
Germany 2 <1%
Sweden 2 <1%
Mexico 2 <1%
Switzerland 1 <1%
New Zealand 1 <1%
Other 3 <1%
Unknown 369 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 101 25%
Researcher 83 20%
Student > Master 58 14%
Professor > Associate Professor 27 7%
Professor 24 6%
Other 72 18%
Unknown 42 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 252 62%
Biochemistry, Genetics and Molecular Biology 65 16%
Computer Science 12 3%
Environmental Science 7 2%
Mathematics 7 2%
Other 13 3%
Unknown 51 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 05 October 2020.
All research outputs
#8,759,452
of 25,837,817 outputs
Outputs from BMC Ecology and Evolution
#2,076
of 3,739 outputs
Outputs of similar age
#41,034
of 110,368 outputs
Outputs of similar age from BMC Ecology and Evolution
#32
of 54 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,739 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one is in the 33rd percentile – i.e., 33% 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 110,368 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.