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X Demographics
Mendeley readers
Attention Score in Context
Title |
Modeling structural mechanics of oyster reef self-organization including environmental constraints and community interactions
|
---|---|
Published in |
Ecological Modelling, January 2021
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DOI | 10.1016/j.ecolmodel.2020.109389 |
Authors |
Simeon Yurek, Mitchell J. Eaton, Romain Lavaud, R. Wilson Laney, Donald L. DeAngelis, William E. Pine, Megan La Peyre, Julien Martin, Peter Frederick, Hongqing Wang, Michael R. Lowe, Fred Johnson, Edward V. Camp, Rua Mordecai |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 30 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 6 | 20% |
Student > Ph. D. Student | 4 | 13% |
Student > Master | 4 | 13% |
Professor | 3 | 10% |
Student > Postgraduate | 3 | 10% |
Other | 3 | 10% |
Unknown | 7 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Environmental Science | 7 | 23% |
Agricultural and Biological Sciences | 6 | 20% |
Engineering | 6 | 20% |
Unspecified | 2 | 7% |
Materials Science | 1 | 3% |
Other | 0 | 0% |
Unknown | 8 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 15 February 2021.
All research outputs
#3,197,047
of 25,394,764 outputs
Outputs from Ecological Modelling
#186
of 2,343 outputs
Outputs of similar age
#84,331
of 519,601 outputs
Outputs of similar age from Ecological Modelling
#6
of 43 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,343 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done particularly well, scoring higher than 92% 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 519,601 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 83% of its contemporaries.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.