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Use of Generalized Linear Models and Digital Data in a Forest Inventory of Northern Utah

Overview of attention for article published in Journal of Agricultural, Biological and Environmental Statistics, December 1999
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Mentioned by

policy
1 policy source

Citations

dimensions_citation
26 Dimensions

Readers on

mendeley
62 Mendeley
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Title
Use of Generalized Linear Models and Digital Data in a Forest Inventory of Northern Utah
Published in
Journal of Agricultural, Biological and Environmental Statistics, December 1999
DOI 10.2307/1400496
Authors

Gretchen G. Moisen, Thomas C. Edwards

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Switzerland 2 3%
Germany 1 2%
Greece 1 2%
Spain 1 2%
Unknown 55 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 27%
Student > Ph. D. Student 7 11%
Professor > Associate Professor 6 10%
Professor 5 8%
Student > Doctoral Student 5 8%
Other 13 21%
Unknown 9 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 39%
Environmental Science 17 27%
Earth and Planetary Sciences 5 8%
Mathematics 2 3%
Computer Science 1 2%
Other 4 6%
Unknown 9 15%
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 16 December 2011.
All research outputs
#8,537,346
of 25,377,790 outputs
Outputs from Journal of Agricultural, Biological and Environmental Statistics
#61
of 188 outputs
Outputs of similar age
#24,417
of 107,753 outputs
Outputs of similar age from Journal of Agricultural, Biological and Environmental Statistics
#3
of 5 outputs
Altmetric has tracked 25,377,790 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 188 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 46th percentile – i.e., 46% 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 107,753 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.