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Response of lake metabolism to catchment inputs inferred using high‐frequency lake and stream data from across the northern hemisphere

Overview of attention for article published in Limnology & Oceanography, November 2023
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

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18 X users

Citations

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2 Dimensions

Readers on

mendeley
15 Mendeley
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Title
Response of lake metabolism to catchment inputs inferred using high‐frequency lake and stream data from across the northern hemisphere
Published in
Limnology & Oceanography, November 2023
DOI 10.1002/lno.12449
Authors

Jessica R. Corman, Jacob A. Zwart, Jennifer Klug, Denise A. Bruesewitz, Elvira de Eyto, Marcus Klaus, Lesley B. Knoll, James A. Rusak, Michael J. Vanni, María Belén Alfonso, Rocio Luz Fernandez, Huaxia Yao, Kari Austnes, Raoul‐Marie Couture, Heleen A. de Wit, Jan Karlsson, Alo Laas

X Demographics

X Demographics

The data shown below were collected from the profiles of 18 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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 20%
Professor 2 13%
Student > Ph. D. Student 2 13%
Student > Master 2 13%
Student > Bachelor 1 7%
Other 1 7%
Unknown 4 27%
Readers by discipline Count As %
Environmental Science 7 47%
Earth and Planetary Sciences 2 13%
Agricultural and Biological Sciences 1 7%
Unknown 5 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 02 July 2024.
All research outputs
#3,927,341
of 26,486,749 outputs
Outputs from Limnology & Oceanography
#549
of 3,549 outputs
Outputs of similar age
#63,645
of 375,442 outputs
Outputs of similar age from Limnology & Oceanography
#14
of 35 outputs
Altmetric has tracked 26,486,749 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,549 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one has done well, scoring higher than 84% 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 375,442 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 82% of its contemporaries.
We're also able to compare this research output to 35 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 60% of its contemporaries.