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Landscape capability models as a tool to predict fine-scale forest bird occupancy and abundance

Overview of attention for article published in Landscape Ecology, October 2017
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
19 Mendeley
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Title
Landscape capability models as a tool to predict fine-scale forest bird occupancy and abundance
Published in
Landscape Ecology, October 2017
DOI 10.1007/s10980-017-0582-z
Authors

Zachary G. Loman, William V. Deluca, Daniel J. Harrison, Cynthia S. Loftin, Brian W. Rolek, Petra B. Wood

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 26%
Student > Ph. D. Student 4 21%
Unspecified 3 16%
Researcher 3 16%
Professor 2 11%
Other 2 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 37%
Unspecified 5 26%
Environmental Science 5 26%
Nursing and Health Professions 2 11%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 10 November 2017.
All research outputs
#6,966,910
of 12,122,714 outputs
Outputs from Landscape Ecology
#486
of 789 outputs
Outputs of similar age
#136,095
of 284,751 outputs
Outputs of similar age from Landscape Ecology
#16
of 19 outputs
Altmetric has tracked 12,122,714 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 789 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one is in the 34th percentile – i.e., 34% 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 284,751 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.