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Semi-analytical prediction of Secchi depth transparency in Lake Kasumigaura using MERIS data

Overview of attention for article published in Limnology, April 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

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1 X user
facebook
1 Facebook page

Citations

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11 Dimensions

Readers on

mendeley
13 Mendeley
Title
Semi-analytical prediction of Secchi depth transparency in Lake Kasumigaura using MERIS data
Published in
Limnology, April 2017
DOI 10.1007/s10201-017-0521-3
Authors

Takehiko Fukushima, Bunkei Matsushita, Wei Yang, Lalu Muhamad Jaelani

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 31%
Researcher 3 23%
Professor > Associate Professor 1 8%
Student > Master 1 8%
Unknown 4 31%
Readers by discipline Count As %
Environmental Science 4 31%
Earth and Planetary Sciences 3 23%
Chemical Engineering 1 8%
Unknown 5 38%
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 23 May 2017.
All research outputs
#18,542,806
of 22,965,074 outputs
Outputs from Limnology
#134
of 278 outputs
Outputs of similar age
#235,192
of 309,748 outputs
Outputs of similar age from Limnology
#4
of 10 outputs
Altmetric has tracked 22,965,074 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 278 research outputs from this source. They receive a mean Attention Score of 1.7. This one is in the 46th percentile – i.e., 46% 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 309,748 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 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.