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Timeline
X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
Discovering Bayesian Market Views for Intelligent Asset Allocation
|
---|---|
Chapter number | 8 |
Book title |
Machine Learning and Knowledge Discovery in Databases
|
Published in |
arXiv, September 2018
|
DOI | 10.1007/978-3-030-10997-4_8 |
Book ISBNs |
978-3-03-010996-7, 978-3-03-010997-4
|
Authors |
Frank Z. Xing, Erik Cambria, Lorenzo Malandri, Carlo Vercellis, Xing, Frank Z., Cambria, Erik, Malandri, Lorenzo, Vercellis, Carlo |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 10% |
United Kingdom | 1 | 10% |
Puerto Rico | 1 | 10% |
Germany | 1 | 10% |
Unknown | 6 | 60% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 9 | 90% |
Science communicators (journalists, bloggers, editors) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 46 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 6 | 13% |
Student > Ph. D. Student | 6 | 13% |
Student > Doctoral Student | 5 | 11% |
Student > Master | 5 | 11% |
Student > Bachelor | 3 | 7% |
Other | 7 | 15% |
Unknown | 14 | 30% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 12 | 26% |
Economics, Econometrics and Finance | 8 | 17% |
Engineering | 4 | 9% |
Mathematics | 3 | 7% |
Business, Management and Accounting | 2 | 4% |
Other | 4 | 9% |
Unknown | 13 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 02 July 2018.
All research outputs
#6,821,097
of 24,021,239 outputs
Outputs from arXiv
#145,603
of 1,015,631 outputs
Outputs of similar age
#116,414
of 340,571 outputs
Outputs of similar age from arXiv
#3,886
of 24,359 outputs
Altmetric has tracked 24,021,239 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 1,015,631 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 85% 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 340,571 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 24,359 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.