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X Demographics
Mendeley readers
Attention Score in Context
Title |
The Chesapeake Bay program modeling system: Overview and recommendations for future development
|
---|---|
Published in |
Ecological Modelling, September 2021
|
DOI | 10.1016/j.ecolmodel.2021.109635 |
Pubmed ID | |
Authors |
Raleigh R Hood, Gary W Shenk, Rachel L Dixon, Sean M C Smith, William P Ball, Jesse O Bash, Rich Batiuk, Kathy Boomer, Damian C Brady, Carl Cerco, Peter Claggett, Kim de Mutsert, Zachary M Easton, Andrew J Elmore, Marjorie A M Friedrichs, Lora A Harris, Thomas F Ihde, Iara Lacher, Li Li, Lewis C Linker, Andrew Miller, Julia Moriarty, Gregory B Noe, George Onyullo, Kenneth Rose, Katie Skalak, Richard Tian, Tamie L Veith, Lisa Wainger, Donald Weller, Yinglong Joseph Zhang |
X Demographics
The data shown below were collected from the profiles of 5 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 | 80% |
Unknown | 1 | 20% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 3 | 60% |
Members of the public | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 82 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 14 | 17% |
Student > Master | 9 | 11% |
Student > Ph. D. Student | 6 | 7% |
Unspecified | 4 | 5% |
Student > Doctoral Student | 4 | 5% |
Other | 11 | 13% |
Unknown | 34 | 41% |
Readers by discipline | Count | As % |
---|---|---|
Environmental Science | 10 | 12% |
Agricultural and Biological Sciences | 7 | 9% |
Earth and Planetary Sciences | 5 | 6% |
Engineering | 5 | 6% |
Unspecified | 4 | 5% |
Other | 10 | 12% |
Unknown | 41 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 16 July 2023.
All research outputs
#4,592,176
of 25,392,582 outputs
Outputs from Ecological Modelling
#301
of 2,343 outputs
Outputs of similar age
#95,952
of 433,636 outputs
Outputs of similar age from Ecological Modelling
#9
of 35 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. Compared to these this one has done well and is in the 81st 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 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 433,636 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 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 71% of its contemporaries.