Title |
Spatial and temporal variability of inherent and apparent optical properties in western Lake Erie: Implications for water quality remote sensing
|
---|---|
Published in |
Journal of Great Lakes Research, June 2019
|
DOI | 10.1016/j.jglr.2019.03.011 |
Authors |
Michael J. Sayers, Karl R. Bosse, Robert A. Shuchman, Steven A. Ruberg, Gary L. Fahnenstiel, George A. Leshkevich, Dack G. Stuart, Thomas H. Johengen, Ashley M. Burtner, Danna Palladino |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
Tanzania, United Republic of | 1 | 33% |
United States | 1 | 33% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 67% |
Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 57 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 11 | 19% |
Researcher | 9 | 16% |
Student > Master | 8 | 14% |
Student > Bachelor | 7 | 12% |
Other | 2 | 4% |
Other | 5 | 9% |
Unknown | 15 | 26% |
Readers by discipline | Count | As % |
---|---|---|
Environmental Science | 15 | 26% |
Engineering | 8 | 14% |
Earth and Planetary Sciences | 5 | 9% |
Agricultural and Biological Sciences | 3 | 5% |
Computer Science | 3 | 5% |
Other | 3 | 5% |
Unknown | 20 | 35% |
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 13 September 2019.
All research outputs
#14,457,391
of 23,163,378 outputs
Outputs from Journal of Great Lakes Research
#1,032
of 1,695 outputs
Outputs of similar age
#191,690
of 349,946 outputs
Outputs of similar age from Journal of Great Lakes Research
#18
of 27 outputs
Altmetric has tracked 23,163,378 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,695 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one is in the 36th percentile – i.e., 36% 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 349,946 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.