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X Demographics
Mendeley readers
Attention Score in Context
Title |
Electric Vehicle Battery Disassembly Sequence Planning Based on Frame-Subgroup Structure Combined with Genetic Algorithm
|
---|---|
Published in |
Frontiers in Mechanical Engineering, December 2020
|
DOI | 10.3389/fmech.2020.576642 |
Authors |
Qingdi Ke, Peng Zhang, Lei Zhang, Shouxu Song |
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 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 25 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 3 | 12% |
Student > Doctoral Student | 2 | 8% |
Student > Master | 2 | 8% |
Researcher | 2 | 8% |
Student > Bachelor | 1 | 4% |
Other | 3 | 12% |
Unknown | 12 | 48% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 8 | 32% |
Business, Management and Accounting | 3 | 12% |
Computer Science | 1 | 4% |
Design | 1 | 4% |
Unknown | 12 | 48% |
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 07 December 2020.
All research outputs
#18,774,803
of 23,267,128 outputs
Outputs from Frontiers in Mechanical Engineering
#254
of 513 outputs
Outputs of similar age
#378,927
of 508,622 outputs
Outputs of similar age from Frontiers in Mechanical Engineering
#8
of 18 outputs
Altmetric has tracked 23,267,128 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 513 research outputs from this source. They receive a mean Attention Score of 3.8. 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 508,622 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.