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X Demographics
Mendeley readers
Attention Score in Context
Title |
Can Machine Learning be Applied to Carbon Emissions Analysis: An Application to the CO2 Emissions Analysis Using Gaussian Process Regression
|
---|---|
Published in |
Frontiers in Energy Research, September 2021
|
DOI | 10.3389/fenrg.2021.756311 |
Authors |
Ning Ma, Wai Yan Shum, Tingting Han, Fujun Lai |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 33% |
Switzerland | 1 | 33% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 67% |
Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 43 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 3 | 7% |
Lecturer | 2 | 5% |
Student > Ph. D. Student | 2 | 5% |
Professor | 1 | 2% |
Unspecified | 1 | 2% |
Other | 2 | 5% |
Unknown | 32 | 74% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 6 | 14% |
Computer Science | 3 | 7% |
Chemistry | 1 | 2% |
Unspecified | 1 | 2% |
Unknown | 32 | 74% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 September 2021.
All research outputs
#18,145,205
of 23,310,485 outputs
Outputs from Frontiers in Energy Research
#637
of 3,446 outputs
Outputs of similar age
#294,018
of 432,894 outputs
Outputs of similar age from Frontiers in Energy Research
#47
of 271 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,446 research outputs from this source. They receive a mean Attention Score of 1.7. This one has done well, scoring higher than 77% 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 432,894 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 271 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 72% of its contemporaries.