| Title |
COVID-19 and instability of stock market performance: evidence from the U.S.
|
|---|---|
| Published in |
Financial Innovation, February 2021
|
| DOI | 10.1186/s40854-021-00229-1 |
| Pubmed ID | |
| Authors |
Hui Hong, Zhicun Bian, Chien-Chiang Lee |
X Demographics
The data shown below were collected from the profiles of 2 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 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 179 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 179 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 20 | 11% |
| Student > Bachelor | 17 | 9% |
| Lecturer | 13 | 7% |
| Student > Ph. D. Student | 9 | 5% |
| Other | 5 | 3% |
| Other | 19 | 11% |
| Unknown | 96 | 54% |
| Readers by discipline | Count | As % |
|---|---|---|
| Business, Management and Accounting | 33 | 18% |
| Economics, Econometrics and Finance | 32 | 18% |
| Engineering | 5 | 3% |
| Agricultural and Biological Sciences | 3 | 2% |
| Computer Science | 3 | 2% |
| Other | 10 | 6% |
| Unknown | 93 | 52% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 14 May 2022.
All research outputs
#1,798,163
of 23,301,510 outputs
Outputs from Financial Innovation
#13
of 163 outputs
Outputs of similar age
#49,618
of 418,206 outputs
Outputs of similar age from Financial Innovation
#1
of 13 outputs
Altmetric has tracked 23,301,510 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 163 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done particularly well, scoring higher than 92% 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 418,206 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.