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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Differentially Private Demand Side Management for Incentivized Dynamic Pricing in Smart Grid11.A preliminary version has been published by 2020 IEEE International Conference on Communications (ICC 2020), June, 2020, Dublin, Ireland entitled Differentially Private Dynamic Pricing for Efficient Demand Response in Smart Grid.
|
|---|---|
| Published in |
IEEE Transactions on Knowledge and Data Engineering, March 2022
|
| DOI | 10.1109/tkde.2022.3157472 |
| Authors |
Muneeb Ul Hassan, Mubashir Husain Rehmani, Jia Tina Du, Jinjun Chen |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Pakistan | 5 | 45% |
| United States | 1 | 9% |
| Australia | 1 | 9% |
| Ireland | 1 | 9% |
| Unknown | 3 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 91% |
| Science communicators (journalists, bloggers, editors) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 21% |
| Researcher | 3 | 21% |
| Student > Master | 3 | 21% |
| Other | 1 | 7% |
| Unknown | 4 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 4 | 29% |
| Computer Science | 2 | 14% |
| Arts and Humanities | 1 | 7% |
| Mathematics | 1 | 7% |
| Unknown | 6 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 09 May 2023.
All research outputs
#4,143,547
of 25,392,582 outputs
Outputs from IEEE Transactions on Knowledge and Data Engineering
#126
of 2,367 outputs
Outputs of similar age
#88,469
of 446,424 outputs
Outputs of similar age from IEEE Transactions on Knowledge and Data Engineering
#2
of 67 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,367 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done particularly well, scoring higher than 94% 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 446,424 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 67 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 97% of its contemporaries.