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A Neural Network-Based Analysis of the Seasonal Variability of Surface Total Alkalinity on the East China Sea Shelf

Overview of attention for article published in Frontiers in Marine Science, April 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

blogs
1 blog
twitter
4 X users

Readers on

mendeley
39 Mendeley
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Title
A Neural Network-Based Analysis of the Seasonal Variability of Surface Total Alkalinity on the East China Sea Shelf
Published in
Frontiers in Marine Science, April 2020
DOI 10.3389/fmars.2020.00219
Authors

Xiaoshuang Li, Richard G. J. Bellerby, Philip Wallhead, Jianzhong Ge, Jie Liu, Jing Liu, Anqiang Yang

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 18%
Student > Bachelor 4 10%
Student > Master 4 10%
Researcher 4 10%
Student > Doctoral Student 2 5%
Other 3 8%
Unknown 15 38%
Readers by discipline Count As %
Earth and Planetary Sciences 8 21%
Environmental Science 5 13%
Chemistry 4 10%
Agricultural and Biological Sciences 2 5%
Economics, Econometrics and Finance 1 3%
Other 6 15%
Unknown 13 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 17 April 2020.
All research outputs
#3,747,704
of 23,201,298 outputs
Outputs from Frontiers in Marine Science
#2,368
of 8,743 outputs
Outputs of similar age
#84,353
of 373,780 outputs
Outputs of similar age from Frontiers in Marine Science
#79
of 235 outputs
Altmetric has tracked 23,201,298 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,743 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one has gotten more attention than average, scoring higher than 72% 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 373,780 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 235 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.