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Quantifying Time-Frequency Co-movement Impact of COVID-19 on U.S. and China Stock Market Toward Investor Sentiment Index

Overview of attention for article published in Frontiers in Public Health, September 2021
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Mentioned by

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1 X user

Citations

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6 Dimensions

Readers on

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31 Mendeley
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Title
Quantifying Time-Frequency Co-movement Impact of COVID-19 on U.S. and China Stock Market Toward Investor Sentiment Index
Published in
Frontiers in Public Health, September 2021
DOI 10.3389/fpubh.2021.727047
Pubmed ID
Authors

Rui Nian, Yijin Xu, Qiang Yuan, Chen Feng, Amaury Lendasse

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 %
Lecturer 4 13%
Student > Ph. D. Student 4 13%
Student > Bachelor 3 10%
Student > Master 3 10%
Professor 2 6%
Other 4 13%
Unknown 11 35%
Readers by discipline Count As %
Economics, Econometrics and Finance 8 26%
Business, Management and Accounting 7 23%
Medicine and Dentistry 2 6%
Nursing and Health Professions 1 3%
Psychology 1 3%
Other 1 3%
Unknown 11 35%
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 10 September 2021.
All research outputs
#20,710,927
of 23,310,485 outputs
Outputs from Frontiers in Public Health
#8,016
of 10,831 outputs
Outputs of similar age
#356,060
of 429,481 outputs
Outputs of similar age from Frontiers in Public Health
#391
of 543 outputs
Altmetric has tracked 23,310,485 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 10,831 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.8. 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 429,481 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 543 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.