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Daily surface temperatures for 185,549 lakes in the conterminous United States estimated using deep learning (1980–2020)

Overview of attention for article published in Limnology and Oceanography: Letters, March 2022
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#47 of 367)
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

twitter
88 X users

Citations

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16 Dimensions

Readers on

mendeley
25 Mendeley
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Title
Daily surface temperatures for 185,549 lakes in the conterminous United States estimated using deep learning (1980–2020)
Published in
Limnology and Oceanography: Letters, March 2022
DOI 10.1002/lol2.10249
Authors

Jared D. Willard, Jordan S. Read, Simon Topp, Gretchen J. A. Hansen, Vipin Kumar

X Demographics

X Demographics

The data shown below were collected from the profiles of 88 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 16%
Student > Bachelor 3 12%
Student > Ph. D. Student 3 12%
Student > Doctoral Student 2 8%
Student > Master 2 8%
Other 3 12%
Unknown 8 32%
Readers by discipline Count As %
Environmental Science 6 24%
Agricultural and Biological Sciences 3 12%
Engineering 2 8%
Unspecified 1 4%
Economics, Econometrics and Finance 1 4%
Other 1 4%
Unknown 11 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 57. 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 07 July 2022.
All research outputs
#798,413
of 26,496,895 outputs
Outputs from Limnology and Oceanography: Letters
#47
of 367 outputs
Outputs of similar age
#20,739
of 470,406 outputs
Outputs of similar age from Limnology and Oceanography: Letters
#3
of 16 outputs
Altmetric has tracked 26,496,895 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 367 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.0. This one has done well, scoring higher than 87% 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 470,406 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.