You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Efficient Model-Data Integration for Flexible Modeling, Parameter Analysis and Visualization, and Data Management
|
|---|---|
| Published in |
Frontiers in Water, March 2020
|
| DOI | 10.3389/frwa.2020.00002 |
| Authors |
Angela Gregory, Chao Chen, Rui Wu, Sarah Miller, Sajjad Ahmad, John W. Anderson, Hays Barrett, Karl Benedict, Dan Cadol, Sergiu M. Dascalu, Donna Delparte, Lynn Fenstermaker, Sarah Godsey, Frederick C. Harris, James P. McNamara, Scott W. Tyler, John Savickas, Luke Sheneman, Mark Stone, Matthew A. Turner |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 18% |
| Other | 2 | 9% |
| Professor > Associate Professor | 2 | 9% |
| Researcher | 2 | 9% |
| Professor | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 11 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 2 | 9% |
| Earth and Planetary Sciences | 2 | 9% |
| Business, Management and Accounting | 1 | 5% |
| Agricultural and Biological Sciences | 1 | 5% |
| Environmental Science | 1 | 5% |
| Other | 4 | 18% |
| Unknown | 11 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 18 March 2020.
All research outputs
#15,073,879
of 23,198,445 outputs
Outputs from Frontiers in Water
#196
of 533 outputs
Outputs of similar age
#230,662
of 394,057 outputs
Outputs of similar age from Frontiers in Water
#6
of 9 outputs
Altmetric has tracked 23,198,445 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 533 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 56% 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 394,057 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.