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MLTreeMap - accurate Maximum Likelihood placement of environmental DNA sequences into taxonomic and functional reference phylogenies

Overview of attention for article published in BMC Genomics, August 2010
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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 (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

patent
2 patents
q&a
1 Q&A thread

Citations

dimensions_citation
106 Dimensions

Readers on

mendeley
207 Mendeley
citeulike
6 CiteULike
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Title
MLTreeMap - accurate Maximum Likelihood placement of environmental DNA sequences into taxonomic and functional reference phylogenies
Published in
BMC Genomics, August 2010
DOI 10.1186/1471-2164-11-461
Pubmed ID
Authors

Manuel Stark, Simon A Berger, Alexandros Stamatakis, Christian von Mering

Abstract

Shotgun sequencing of environmental DNA is an essential technique for characterizing uncultivated microbes in situ. However, the taxonomic and functional assignment of the obtained sequence fragments remains a pressing problem.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 207 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 2%
Germany 4 2%
Canada 2 <1%
Spain 2 <1%
Saudi Arabia 2 <1%
Sweden 2 <1%
United Kingdom 2 <1%
Brazil 1 <1%
India 1 <1%
Other 10 5%
Unknown 176 85%

Demographic breakdown

Readers by professional status Count As %
Researcher 59 29%
Student > Ph. D. Student 57 28%
Student > Master 29 14%
Professor 11 5%
Professor > Associate Professor 11 5%
Other 28 14%
Unknown 12 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 119 57%
Computer Science 24 12%
Biochemistry, Genetics and Molecular Biology 16 8%
Immunology and Microbiology 5 2%
Earth and Planetary Sciences 5 2%
Other 23 11%
Unknown 15 7%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 03 August 2022.
All research outputs
#3,666,232
of 23,009,818 outputs
Outputs from BMC Genomics
#1,408
of 10,698 outputs
Outputs of similar age
#15,245
of 95,133 outputs
Outputs of similar age from BMC Genomics
#2
of 25 outputs
Altmetric has tracked 23,009,818 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,698 research outputs from this source. They receive a mean Attention Score of 4.7. 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 95,133 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 83% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.