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Ice Forecasting in the Next-Generation Great Lakes Operational Forecast System (GLOFS)

Overview of attention for article published in Journal of Marine Science and Engineering, October 2018
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  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Citations

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40 Dimensions

Readers on

mendeley
26 Mendeley
Title
Ice Forecasting in the Next-Generation Great Lakes Operational Forecast System (GLOFS)
Published in
Journal of Marine Science and Engineering, October 2018
DOI 10.3390/jmse6040123
Authors

Eric Anderson, Ayumi Fujisaki-Manome, James Kessler, Gregory Lang, Philip Chu, John Kelley, Yi Chen, Jia Wang

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 23%
Student > Ph. D. Student 6 23%
Student > Master 2 8%
Lecturer 1 4%
Unspecified 1 4%
Other 2 8%
Unknown 8 31%
Readers by discipline Count As %
Environmental Science 8 31%
Earth and Planetary Sciences 4 15%
Engineering 2 8%
Business, Management and Accounting 1 4%
Unspecified 1 4%
Other 2 8%
Unknown 8 31%
Attention Score in Context

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 23 September 2020.
All research outputs
#15,152,619
of 23,305,591 outputs
Outputs from Journal of Marine Science and Engineering
#754
of 2,736 outputs
Outputs of similar age
#207,750
of 350,285 outputs
Outputs of similar age from Journal of Marine Science and Engineering
#20
of 36 outputs
Altmetric has tracked 23,305,591 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,736 research outputs from this source. They receive a mean Attention Score of 2.7. This one has gotten more attention than average, scoring higher than 67% 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 350,285 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.