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Quantitative shape analysis with weighted covariance estimates for increased statistical efficiency

Overview of attention for article published in Frontiers in Zoology, April 2013
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1 X user
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1 Facebook page
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1 Google+ user

Citations

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3 Dimensions

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34 Mendeley
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Title
Quantitative shape analysis with weighted covariance estimates for increased statistical efficiency
Published in
Frontiers in Zoology, April 2013
DOI 10.1186/1742-9994-10-16
Pubmed ID
Authors

Hossein Ragheb, Neil A Thacker, Paul A Bromiley, Diethard Tautz, Anja C Schunke

Abstract

The introduction and statistical formalisation of landmark-based methods for analysing biological shape has made a major impact on comparative morphometric analyses. However, a satisfactory solution for including information from 2D/3D shapes represented by 'semi-landmarks' alongside well-defined landmarks into the analyses is still missing. Also, there has not been an integration of a statistical treatment of measurement error in the current approaches.

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

Geographical breakdown

Country Count As %
Finland 1 3%
Cuba 1 3%
United States 1 3%
Bulgaria 1 3%
Unknown 30 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 26%
Professor > Associate Professor 6 18%
Student > Ph. D. Student 5 15%
Professor 4 12%
Student > Bachelor 2 6%
Other 6 18%
Unknown 2 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 59%
Biochemistry, Genetics and Molecular Biology 3 9%
Physics and Astronomy 2 6%
Environmental Science 1 3%
Psychology 1 3%
Other 4 12%
Unknown 3 9%
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 14 January 2015.
All research outputs
#14,915,133
of 25,374,917 outputs
Outputs from Frontiers in Zoology
#462
of 695 outputs
Outputs of similar age
#116,331
of 212,759 outputs
Outputs of similar age from Frontiers in Zoology
#12
of 17 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 695 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.0. This one is in the 32nd percentile – i.e., 32% 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 212,759 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.