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Reconciling models and measurements of marsh vulnerability to sea level rise

Overview of attention for article published in Limnology and Oceanography: Letters, January 2022
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Mentioned by

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1 Facebook page

Citations

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27 Dimensions

Readers on

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38 Mendeley
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Title
Reconciling models and measurements of marsh vulnerability to sea level rise
Published in
Limnology and Oceanography: Letters, January 2022
DOI 10.1002/lol2.10230
Authors

Daniel J. Coleman, Mark Schuerch, Stijn Temmerman, Glenn Guntenspergen, Christopher G. Smith, Matthew L. Kirwan

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 42%
Student > Ph. D. Student 4 11%
Other 2 5%
Student > Doctoral Student 1 3%
Unspecified 1 3%
Other 1 3%
Unknown 13 34%
Readers by discipline Count As %
Environmental Science 11 29%
Earth and Planetary Sciences 7 18%
Agricultural and Biological Sciences 3 8%
Unspecified 1 3%
Medicine and Dentistry 1 3%
Other 0 0%
Unknown 15 39%
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 27 January 2022.
All research outputs
#22,774,430
of 25,392,582 outputs
Outputs from Limnology and Oceanography: Letters
#313
of 329 outputs
Outputs of similar age
#442,296
of 517,789 outputs
Outputs of similar age from Limnology and Oceanography: Letters
#15
of 15 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 329 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 30.1. This one is in the 1st percentile – i.e., 1% 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 517,789 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.