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Nonlinear relationships can lead to bias in biomass calculations and drift-foraging models when using summaries of invertebrate drift data

Overview of attention for article published in Environmental Biology of Fishes, August 2016
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
7 Mendeley
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Title
Nonlinear relationships can lead to bias in biomass calculations and drift-foraging models when using summaries of invertebrate drift data
Published in
Environmental Biology of Fishes, August 2016
DOI 10.1007/s10641-016-0507-8
Authors

Michael J. Dodrill, Charles B. Yackulic

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

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 29%
Other 1 14%
Professor 1 14%
Student > Master 1 14%
Researcher 1 14%
Other 0 0%
Unknown 1 14%
Readers by discipline Count As %
Environmental Science 3 43%
Agricultural and Biological Sciences 3 43%
Unknown 1 14%

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 09 August 2016.
All research outputs
#10,192,188
of 13,353,516 outputs
Outputs from Environmental Biology of Fishes
#780
of 938 outputs
Outputs of similar age
#170,618
of 263,786 outputs
Outputs of similar age from Environmental Biology of Fishes
#7
of 14 outputs
Altmetric has tracked 13,353,516 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
So far Altmetric has tracked 938 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 22nd percentile – i.e., 22% 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 263,786 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.