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Identification of selected internal wood characteristics in computed tomography images of black spruce: a comparison study

Overview of attention for article published in Journal of Wood Science, June 2009
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Mentioned by

wikipedia
2 Wikipedia pages

Citations

dimensions_citation
28 Dimensions

Readers on

mendeley
24 Mendeley
Title
Identification of selected internal wood characteristics in computed tomography images of black spruce: a comparison study
Published in
Journal of Wood Science, June 2009
DOI 10.1007/s10086-008-1013-1
Authors

Qiang Wei, Ying Hei Chui, Brigitte Leblon, Shu Yin Zhang

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 4%
Unknown 23 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 17%
Researcher 3 13%
Professor 2 8%
Student > Bachelor 2 8%
Other 2 8%
Other 6 25%
Unknown 5 21%
Readers by discipline Count As %
Engineering 6 25%
Agricultural and Biological Sciences 3 13%
Materials Science 3 13%
Computer Science 2 8%
Earth and Planetary Sciences 1 4%
Other 3 13%
Unknown 6 25%
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 22 March 2019.
All research outputs
#7,452,489
of 22,783,848 outputs
Outputs from Journal of Wood Science
#57
of 216 outputs
Outputs of similar age
#38,268
of 113,852 outputs
Outputs of similar age from Journal of Wood Science
#1
of 1 outputs
Altmetric has tracked 22,783,848 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 216 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 25th percentile – i.e., 25% 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 113,852 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
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