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Mendeley readers
Attention Score in Context
| Title |
Deterministic global optimization approach to steady-state distribution gas pipeline networks
|
|---|---|
| Published in |
Optimization and Engineering, July 2007
|
| DOI | 10.1007/s11081-007-9018-y |
| Authors |
Yue Wu, Kin Keung Lai, Yongjin Liu |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 32 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 16% |
| Student > Bachelor | 3 | 9% |
| Student > Doctoral Student | 3 | 9% |
| Student > Master | 3 | 9% |
| Professor | 3 | 9% |
| Other | 6 | 19% |
| Unknown | 9 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 11 | 34% |
| Business, Management and Accounting | 2 | 6% |
| Economics, Econometrics and Finance | 2 | 6% |
| Energy | 2 | 6% |
| Earth and Planetary Sciences | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 11 | 34% |
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 26 February 2019.
All research outputs
#7,557,593
of 23,053,169 outputs
Outputs from Optimization and Engineering
#22
of 107 outputs
Outputs of similar age
#24,416
of 67,043 outputs
Outputs of similar age from Optimization and Engineering
#1
of 1 outputs
Altmetric has tracked 23,053,169 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 107 research outputs from this source. They receive a mean Attention Score of 2.8. This one has gotten more attention than average, scoring higher than 62% 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 67,043 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them