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Predicting the returns of the US real estate investment trust market: evidence from the group method of data handling neural network

Overview of attention for article published in Financial Innovation, July 2023
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1 X user

Citations

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3 Dimensions

Readers on

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31 Mendeley
Title
Predicting the returns of the US real estate investment trust market: evidence from the group method of data handling neural network
Published in
Financial Innovation, July 2023
DOI 10.1186/s40854-023-00486-2
Authors

Wendi Zhang, Bin Li, Alan Wee-Chung Liew, Eduardo Roca, Tarlok Singh

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 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 2 6%
Student > Bachelor 2 6%
Student > Master 2 6%
Student > Ph. D. Student 2 6%
Student > Doctoral Student 1 3%
Other 1 3%
Unknown 21 68%
Readers by discipline Count As %
Unspecified 2 6%
Business, Management and Accounting 2 6%
Economics, Econometrics and Finance 2 6%
Computer Science 2 6%
Mathematics 1 3%
Other 2 6%
Unknown 20 65%
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 11 September 2023.
All research outputs
#21,885,607
of 24,417,958 outputs
Outputs from Financial Innovation
#165
of 181 outputs
Outputs of similar age
#287,792
of 343,861 outputs
Outputs of similar age from Financial Innovation
#3
of 3 outputs
Altmetric has tracked 24,417,958 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 181 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. 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 343,861 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 3 others from the same source and published within six weeks on either side of this one.