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Multi-element fingerprinting of waters to evaluate connectivity among depressional wetlands

Overview of attention for article published in Ecological Indicators, February 2019
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

googleplus
1 Google+ user

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
9 Mendeley
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Title
Multi-element fingerprinting of waters to evaluate connectivity among depressional wetlands
Published in
Ecological Indicators, February 2019
DOI 10.1016/j.ecolind.2018.10.033
Authors

Yuxiang Yuan, Xiaoyan Zhu, David M. Mushet, Marinus L. Otte

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 44%
Researcher 1 11%
Student > Master 1 11%
Unknown 3 33%
Readers by discipline Count As %
Environmental Science 2 22%
Agricultural and Biological Sciences 2 22%
Earth and Planetary Sciences 2 22%
Unknown 3 33%

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 22 December 2018.
All research outputs
#8,804,960
of 14,050,946 outputs
Outputs from Ecological Indicators
#1,132
of 1,775 outputs
Outputs of similar age
#191,893
of 315,474 outputs
Outputs of similar age from Ecological Indicators
#72
of 110 outputs
Altmetric has tracked 14,050,946 research outputs across all sources so far. This one is in the 24th percentile – i.e., 24% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,775 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. 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 315,474 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 110 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.