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Water clarity modeling in Lake Tahoe: Linking suspended matter characteristics to Secchi depth

Overview of attention for article published in Aquatic Sciences, February 2006
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Mentioned by

wikipedia
2 Wikipedia pages

Citations

dimensions_citation
109 Dimensions

Readers on

mendeley
97 Mendeley
Title
Water clarity modeling in Lake Tahoe: Linking suspended matter characteristics to Secchi depth
Published in
Aquatic Sciences, February 2006
DOI 10.1007/s00027-005-0798-x
Authors

Theodore J. Swift, Joaquim Perez-Losada, S. Geoffrey Schladow, John E. Reuter, Alan D. Jassby, Charles R. Goldman

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Switzerland 1 1%
Mexico 1 1%
Singapore 1 1%
Denmark 1 1%
Argentina 1 1%
Unknown 90 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 26%
Researcher 20 21%
Student > Master 15 15%
Student > Bachelor 9 9%
Other 5 5%
Other 12 12%
Unknown 11 11%
Readers by discipline Count As %
Environmental Science 29 30%
Earth and Planetary Sciences 21 22%
Agricultural and Biological Sciences 13 13%
Engineering 8 8%
Biochemistry, Genetics and Molecular Biology 3 3%
Other 12 12%
Unknown 11 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 December 2020.
All research outputs
#7,451,942
of 22,782,096 outputs
Outputs from Aquatic Sciences
#165
of 622 outputs
Outputs of similar age
#24,343
of 70,735 outputs
Outputs of similar age from Aquatic Sciences
#1
of 3 outputs
Altmetric has tracked 22,782,096 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 622 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 60% of its peers.
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 70,735 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them