| Title |
Variance Allocation and Shapley Value
|
|---|---|
| Published in |
Methodology and Computing in Applied Probability, January 2017
|
| DOI | 10.1007/s11009-016-9540-5 |
| Authors |
Riccardo Colini-Baldeschi, Marco Scarsini, Stefano Vaccari |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 50% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 13 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 38% |
| Student > Master | 4 | 31% |
| Lecturer > Senior Lecturer | 1 | 8% |
| Professor | 1 | 8% |
| Unknown | 2 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Mathematics | 4 | 31% |
| Decision Sciences | 3 | 23% |
| Business, Management and Accounting | 1 | 8% |
| Computer Science | 1 | 8% |
| Engineering | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 3 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 01 July 2016.
All research outputs
#15,682,052
of 23,906,448 outputs
Outputs from Methodology and Computing in Applied Probability
#36
of 81 outputs
Outputs of similar age
#249,808
of 426,818 outputs
Outputs of similar age from Methodology and Computing in Applied Probability
#2
of 5 outputs
Altmetric has tracked 23,906,448 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 81 research outputs from this source. They receive a mean Attention Score of 1.6. This one has gotten more attention than average, scoring higher than 53% 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 426,818 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.