| Title |
Machine learning approaches for non-intrusive load monitoring: from qualitative to quantitative comparation
|
|---|---|
| Published in |
Artificial Intelligence Review, January 2018
|
| DOI | 10.1007/s10462-018-9613-7 |
| Authors |
Christoforos Nalmpantis, Dimitris Vrakas |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 163 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 163 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 46 | 28% |
| Student > Master | 22 | 13% |
| Researcher | 12 | 7% |
| Student > Doctoral Student | 8 | 5% |
| Student > Bachelor | 8 | 5% |
| Other | 21 | 13% |
| Unknown | 46 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 40 | 25% |
| Computer Science | 32 | 20% |
| Energy | 14 | 9% |
| Mathematics | 5 | 3% |
| Economics, Econometrics and Finance | 3 | 2% |
| Other | 10 | 6% |
| Unknown | 59 | 36% |
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 16 January 2018.
All research outputs
#15,488,947
of 23,016,919 outputs
Outputs from Artificial Intelligence Review
#420
of 705 outputs
Outputs of similar age
#270,816
of 442,996 outputs
Outputs of similar age from Artificial Intelligence Review
#6
of 7 outputs
Altmetric has tracked 23,016,919 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 705 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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 442,996 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one.