↓ Skip to main content

Machine learning in empirical asset pricing

Overview of attention for article published in Financial Markets and Portfolio Management, February 2019
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
23 Dimensions

Readers on

mendeley
111 Mendeley
Title
Machine learning in empirical asset pricing
Published in
Financial Markets and Portfolio Management, February 2019
DOI 10.1007/s11408-019-00326-3
Authors

Alois Weigand

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 111 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 15%
Student > Master 11 10%
Professor > Associate Professor 8 7%
Student > Doctoral Student 6 5%
Student > Bachelor 5 5%
Other 15 14%
Unknown 49 44%
Readers by discipline Count As %
Economics, Econometrics and Finance 28 25%
Business, Management and Accounting 12 11%
Computer Science 9 8%
Engineering 2 2%
Social Sciences 2 2%
Other 8 7%
Unknown 50 45%
Attention Score in Context

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 03 March 2019.
All research outputs
#20,557,521
of 23,132,033 outputs
Outputs from Financial Markets and Portfolio Management
#43
of 46 outputs
Outputs of similar age
#304,246
of 353,190 outputs
Outputs of similar age from Financial Markets and Portfolio Management
#1
of 1 outputs
Altmetric has tracked 23,132,033 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 46 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one scored the same or higher as 3 of them.
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 353,190 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 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