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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Multi-Feature Fusion-Based Instantaneous Energy Consumption Estimation for Electric Buses
|
|---|---|
| Published in |
IEEE/CAA Journal of Automatica Sinica, October 2023
|
| DOI | 10.1109/jas.2022.106010 |
| Authors |
Mingqiang Lin, Shouxin Chen, Wei Wang, Ji Wu |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 1 | 100% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 1 | 100% |
Attention Score in Context
This research output has an Altmetric Attention Score of 46. 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 24 October 2022.
All research outputs
#855,551
of 24,417,958 outputs
Outputs from IEEE/CAA Journal of Automatica Sinica
#17
of 260 outputs
Outputs of similar age
#2,950
of 91,889 outputs
Outputs of similar age from IEEE/CAA Journal of Automatica Sinica
#1
of 1 outputs
Altmetric has tracked 24,417,958 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 260 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.7. This one has done particularly well, scoring higher than 93% 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 91,889 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them