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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Applications of Multi-Criteria and Game Theory Approaches
|
|---|---|
| Published by |
arXiv, October 2013
|
| DOI | 10.1007/978-1-4471-5295-8 |
| ISBNs |
978-1-4471-5294-1, 978-1-4471-5295-8
|
| Authors |
Dong Xu, Chao Meng, Qingpeng Zhang, Puneet Bhardwaj, Young-Jun Son |
| Editors |
Benyoucef, Lyes, Hennet, Jean-Claude, Tiwari, Manoj Kumar |
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 % |
|---|---|---|
| Unknown | 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 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 2 | 3% |
| Malaysia | 1 | 2% |
| Portugal | 1 | 2% |
| Pakistan | 1 | 2% |
| Unknown | 54 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 20% |
| Student > Master | 12 | 20% |
| Professor > Associate Professor | 6 | 10% |
| Student > Bachelor | 6 | 10% |
| Professor | 4 | 7% |
| Other | 15 | 25% |
| Unknown | 4 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 20 | 34% |
| Computer Science | 11 | 19% |
| Business, Management and Accounting | 11 | 19% |
| Mathematics | 2 | 3% |
| Economics, Econometrics and Finance | 2 | 3% |
| Other | 5 | 8% |
| Unknown | 8 | 14% |
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 22 September 2020.
All research outputs
#20,480,611
of 23,041,514 outputs
Outputs from arXiv
#676,391
of 946,399 outputs
Outputs of similar age
#185,953
of 212,596 outputs
Outputs of similar age from arXiv
#5,512
of 9,903 outputs
Altmetric has tracked 23,041,514 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 946,399 research outputs from this source. They receive a mean Attention Score of 3.9. 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 212,596 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 9,903 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.