↓ Skip to main content

Additions of landscape metrics improve predictions of occurrence of species distribution models

Overview of attention for article published in Journal of Forestry Research, April 2017
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

Mentioned by

twitter
1 X user
facebook
1 Facebook page

Citations

dimensions_citation
20 Dimensions

Readers on

mendeley
88 Mendeley
Title
Additions of landscape metrics improve predictions of occurrence of species distribution models
Published in
Journal of Forestry Research, April 2017
DOI 10.1007/s11676-017-0388-5
Authors

Érica Hasui, Vinícius X. Silva, Rogério G. T. Cunha, Flavio N. Ramos, Milton C. Ribeiro, Mario Sacramento, Marco T. P. Coelho, Diego G. S. Pereira, Bruno R. Ribeiro

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

Geographical breakdown

Country Count As %
Brazil 2 2%
Unknown 86 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 15%
Student > Bachelor 12 14%
Researcher 11 13%
Student > Ph. D. Student 10 11%
Student > Doctoral Student 8 9%
Other 23 26%
Unknown 11 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 38 43%
Environmental Science 24 27%
Computer Science 2 2%
Earth and Planetary Sciences 2 2%
Psychology 1 1%
Other 1 1%
Unknown 20 23%
Attention Score in Context

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 06 April 2017.
All research outputs
#14,929,039
of 22,962,258 outputs
Outputs from Journal of Forestry Research
#140
of 363 outputs
Outputs of similar age
#184,556
of 309,584 outputs
Outputs of similar age from Journal of Forestry Research
#3
of 7 outputs
Altmetric has tracked 22,962,258 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 363 research outputs from this source. They receive a mean Attention Score of 2.5. This one has gotten more attention than average, scoring higher than 60% 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 309,584 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.