↓ Skip to main content

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

Overview of attention for article published in Ecological Indicators, February 2019
Altmetric Badge

Mentioned by

googleplus
1 Google+ user

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
22 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
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

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 23%
Student > Bachelor 2 9%
Researcher 2 9%
Student > Master 2 9%
Student > Doctoral Student 1 5%
Other 0 0%
Unknown 10 45%
Readers by discipline Count As %
Environmental Science 5 23%
Earth and Planetary Sciences 3 14%
Agricultural and Biological Sciences 2 9%
Medicine and Dentistry 1 5%
Engineering 1 5%
Other 0 0%
Unknown 10 45%
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 22 December 2018.
All research outputs
#17,292,294
of 25,385,509 outputs
Outputs from Ecological Indicators
#2,465
of 3,568 outputs
Outputs of similar age
#282,661
of 447,265 outputs
Outputs of similar age from Ecological Indicators
#70
of 87 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,568 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one is in the 19th percentile – i.e., 19% 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 447,265 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 87 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.