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Fast NJ-like algorithms to deal with incomplete distance matrices

Overview of attention for article published in BMC Bioinformatics, March 2008
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

twitter
1 X user
wikipedia
1 Wikipedia page

Citations

dimensions_citation
43 Dimensions

Readers on

mendeley
70 Mendeley
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Title
Fast NJ-like algorithms to deal with incomplete distance matrices
Published in
BMC Bioinformatics, March 2008
DOI 10.1186/1471-2105-9-166
Pubmed ID
Authors

Alexis Criscuolo, Olivier Gascuel

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 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 1%
Netherlands 1 1%
Brazil 1 1%
United Kingdom 1 1%
Denmark 1 1%
Spain 1 1%
United States 1 1%
Unknown 63 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 31%
Researcher 19 27%
Student > Bachelor 6 9%
Student > Master 6 9%
Student > Doctoral Student 3 4%
Other 9 13%
Unknown 5 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 32 46%
Biochemistry, Genetics and Molecular Biology 12 17%
Computer Science 10 14%
Environmental Science 3 4%
Earth and Planetary Sciences 2 3%
Other 6 9%
Unknown 5 7%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 14 December 2023.
All research outputs
#7,206,917
of 24,988,588 outputs
Outputs from BMC Bioinformatics
#2,619
of 7,628 outputs
Outputs of similar age
#28,650
of 91,709 outputs
Outputs of similar age from BMC Bioinformatics
#17
of 50 outputs
Altmetric has tracked 24,988,588 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 7,628 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 64% 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 91,709 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 66% of its contemporaries.
We're also able to compare this research output to 50 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 68% of its contemporaries.