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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Bitcoin and market-(in)efficiency: a systematic time series approach
|
|---|---|
| Published in |
Digital Finance, March 2019
|
| DOI | 10.1007/s42521-019-00004-z |
| Authors |
Nils Bundi, Marc Wildi |
X Demographics
The data shown below were collected from the profiles of 30 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 7 | 23% |
| United States | 2 | 7% |
| Chile | 2 | 7% |
| Brazil | 2 | 7% |
| Botswana | 1 | 3% |
| South Africa | 1 | 3% |
| Norway | 1 | 3% |
| Greece | 1 | 3% |
| Spain | 1 | 3% |
| Other | 2 | 7% |
| Unknown | 10 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 27 | 90% |
| Scientists | 1 | 3% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer | 4 | 16% |
| Student > Bachelor | 3 | 12% |
| Student > Master | 2 | 8% |
| Lecturer > Senior Lecturer | 1 | 4% |
| Student > Doctoral Student | 1 | 4% |
| Other | 4 | 16% |
| Unknown | 10 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Economics, Econometrics and Finance | 6 | 24% |
| Business, Management and Accounting | 3 | 12% |
| Computer Science | 2 | 8% |
| Unspecified | 1 | 4% |
| Decision Sciences | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 10 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 24. 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 30 July 2019.
All research outputs
#1,478,748
of 24,452,594 outputs
Outputs from Digital Finance
#2
of 41 outputs
Outputs of similar age
#34,125
of 356,243 outputs
Outputs of similar age from Digital Finance
#1
of 5 outputs
Altmetric has tracked 24,452,594 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 41 research outputs from this source. They receive a mean Attention Score of 3.5. This one scored the same or higher as 39 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 356,243 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
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 all of them