Discovering interlinkages between major cryptocurrencies using high-frequency data: new evidence from COVID-19 pandemic
Financial Innovation, November 2020
Imran Yousaf, Shoaib Ali
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|Members of the public||1||50%|
The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.
|Readers by professional status||Count||As %|
|Student > Ph. D. Student||11||12%|
|Student > Bachelor||5||5%|
|Readers by discipline||Count||As %|
|Business, Management and Accounting||26||28%|
|Economics, Econometrics and Finance||18||19%|
|Arts and Humanities||2||2%|
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 01 January 2021.
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Altmetric has tracked 23,262,131 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 161 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 gotten more attention than average, scoring higher than 55% 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 418,672 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.