| Title |
Pyomo: modeling and solving mathematical programs in Python
|
|---|---|
| Published in |
Mathematical Programming Computation, August 2011
|
| DOI | 10.1007/s12532-011-0026-8 |
| Authors |
William E. Hart, Jean-Paul Watson, David L. Woodruff |
Mendeley readers
The data shown below were compiled from readership statistics for 445 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | <1% |
| Switzerland | 1 | <1% |
| United Kingdom | 1 | <1% |
| Canada | 1 | <1% |
| Belgium | 1 | <1% |
| France | 1 | <1% |
| Spain | 1 | <1% |
| China | 1 | <1% |
| Venezuela, Bolivarian Republic of | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 434 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 127 | 29% |
| Student > Master | 66 | 15% |
| Researcher | 46 | 10% |
| Student > Doctoral Student | 21 | 5% |
| Professor | 18 | 4% |
| Other | 52 | 12% |
| Unknown | 115 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 110 | 25% |
| Energy | 47 | 11% |
| Chemical Engineering | 40 | 9% |
| Computer Science | 22 | 5% |
| Mathematics | 16 | 4% |
| Other | 63 | 14% |
| Unknown | 147 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 10 September 2020.
All research outputs
#7,408,141
of 22,651,245 outputs
Outputs from Mathematical Programming Computation
#24
of 83 outputs
Outputs of similar age
#42,301
of 120,708 outputs
Outputs of similar age from Mathematical Programming Computation
#2
of 3 outputs
Altmetric has tracked 22,651,245 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 83 research outputs from this source. They receive a mean Attention Score of 3.3. This one has gotten more attention than average, scoring higher than 54% 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 120,708 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.