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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Electricity Theft Detection in Power Consumption Data Based on Adaptive Tuning Recurrent Neural Network
|
|---|---|
| Published in |
Frontiers in Energy Research, November 2021
|
| DOI | 10.3389/fenrg.2021.773805 |
| Authors |
Guoying Lin, Haoyang Feng, Xiaofeng Feng, Hongwu Wen, Yuanzheng Li, Shaoyong Hong, Zhixian Ni |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 2 | 22% |
| Switzerland | 1 | 11% |
| Unknown | 6 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 89% |
| Scientists | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 12% |
| Student > Master | 4 | 12% |
| Student > Bachelor | 2 | 6% |
| Researcher | 2 | 6% |
| Other | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 17 | 52% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 9 | 27% |
| Computer Science | 4 | 12% |
| Energy | 1 | 3% |
| Business, Management and Accounting | 1 | 3% |
| Unknown | 18 | 55% |
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 13 November 2021.
All research outputs
#14,250,824
of 25,155,561 outputs
Outputs from Frontiers in Energy Research
#328
of 4,395 outputs
Outputs of similar age
#178,295
of 432,832 outputs
Outputs of similar age from Frontiers in Energy Research
#25
of 346 outputs
Altmetric has tracked 25,155,561 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,395 research outputs from this source. They receive a mean Attention Score of 1.6. This one has done particularly well, scoring higher than 92% 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 432,832 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.
We're also able to compare this research output to 346 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.