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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Flexible Ensemble Algorithm for Big Data Cleaning of PMUs
|
|---|---|
| Published in |
Frontiers in Energy Research, July 2021
|
| DOI | 10.3389/fenrg.2021.695057 |
| Authors |
Long Shen, Xin He, Mingqun Liu, Risheng Qin, Cheng Guo, Xian Meng, Ruimin Duan |
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 % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 7 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 2 | 29% |
| Student > Ph. D. Student | 1 | 14% |
| Unknown | 4 | 57% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 1 | 14% |
| Agricultural and Biological Sciences | 1 | 14% |
| Engineering | 1 | 14% |
| Unknown | 4 | 57% |
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 27 July 2021.
All research outputs
#20,710,927
of 23,310,485 outputs
Outputs from Frontiers in Energy Research
#1,332
of 3,446 outputs
Outputs of similar age
#358,469
of 433,890 outputs
Outputs of similar age from Frontiers in Energy Research
#106
of 218 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% 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 is in the 1st percentile – i.e., 1% 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 433,890 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 218 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.