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Mixed-Integer Linear Programming (MILP) Approach for the Synthesis of Efficient Power-to-Syngas Processes

Overview of attention for article published in Frontiers in Energy Research, September 2020
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  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

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3 X users

Citations

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12 Dimensions

Readers on

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45 Mendeley
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Title
Mixed-Integer Linear Programming (MILP) Approach for the Synthesis of Efficient Power-to-Syngas Processes
Published in
Frontiers in Energy Research, September 2020
DOI 10.3389/fenrg.2020.00161
Authors

Andrea Maggi, Marcus Wenzel, Kai Sundmacher

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 13%
Student > Ph. D. Student 5 11%
Professor 2 4%
Student > Bachelor 1 2%
Other 1 2%
Other 3 7%
Unknown 27 60%
Readers by discipline Count As %
Chemical Engineering 5 11%
Energy 3 7%
Engineering 3 7%
Environmental Science 2 4%
Earth and Planetary Sciences 1 2%
Other 2 4%
Unknown 29 64%
Attention Score in Context

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 14 October 2020.
All research outputs
#14,218,837
of 23,245,494 outputs
Outputs from Frontiers in Energy Research
#341
of 3,420 outputs
Outputs of similar age
#219,122
of 411,818 outputs
Outputs of similar age from Frontiers in Energy Research
#20
of 104 outputs
Altmetric has tracked 23,245,494 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,420 research outputs from this source. They receive a mean Attention Score of 1.7. This one has done well, scoring higher than 89% 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 411,818 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 104 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.