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Modeling for Understanding v. Modeling for Numbers

Overview of attention for article published in Ecosystems, November 2016
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Mentioned by

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2 X users

Citations

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31 Dimensions

Readers on

mendeley
81 Mendeley
Title
Modeling for Understanding v. Modeling for Numbers
Published in
Ecosystems, November 2016
DOI 10.1007/s10021-016-0067-y
Authors

Edward B. Rastetter

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Unknown 79 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 27%
Researcher 20 25%
Student > Master 9 11%
Professor 6 7%
Student > Doctoral Student 5 6%
Other 8 10%
Unknown 11 14%
Readers by discipline Count As %
Environmental Science 28 35%
Agricultural and Biological Sciences 23 28%
Earth and Planetary Sciences 9 11%
Computer Science 1 1%
Immunology and Microbiology 1 1%
Other 4 5%
Unknown 15 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 30 January 2017.
All research outputs
#15,393,913
of 22,901,818 outputs
Outputs from Ecosystems
#979
of 1,230 outputs
Outputs of similar age
#197,258
of 312,770 outputs
Outputs of similar age from Ecosystems
#36
of 40 outputs
Altmetric has tracked 22,901,818 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,230 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.8. This one is in the 14th percentile – i.e., 14% 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 312,770 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.