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Integrating Multiple Data Types to Connect Ecological Theory and Data Among Levels

Overview of attention for article published in Frontiers in Ecology and Evolution, April 2019
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  • Average Attention Score compared to outputs of the same age

Mentioned by

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3 X users

Readers on

mendeley
38 Mendeley
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Title
Integrating Multiple Data Types to Connect Ecological Theory and Data Among Levels
Published in
Frontiers in Ecology and Evolution, April 2019
DOI 10.3389/fevo.2019.00095
Authors

Jian D. L. Yen, Zeb Tonkin, Jarod Lyon, Wayne Koster, Adrian Kitchingman, Kasey Stamation, Peter A. Vesk

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 18%
Researcher 5 13%
Student > Master 5 13%
Professor 3 8%
Student > Bachelor 2 5%
Other 7 18%
Unknown 9 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 26%
Environmental Science 9 24%
Unspecified 2 5%
Chemistry 2 5%
Mathematics 2 5%
Other 3 8%
Unknown 10 26%
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 19 May 2019.
All research outputs
#14,381,748
of 23,138,859 outputs
Outputs from Frontiers in Ecology and Evolution
#2,422
of 4,251 outputs
Outputs of similar age
#194,034
of 351,802 outputs
Outputs of similar age from Frontiers in Ecology and Evolution
#98
of 123 outputs
Altmetric has tracked 23,138,859 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,251 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.6. This one is in the 42nd percentile – i.e., 42% 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 351,802 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 123 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.