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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Sentiment-Based Prediction of Alternative Cryptocurrency Price Fluctuations Using Gradient Boosting Tree Model
|
|---|---|
| Published in |
Frontiers in Physics, July 2019
|
| DOI | 10.3389/fphy.2019.00098 |
| Authors |
Tianyu Ray Li, Anup S. Chamrajnagar, Xander R. Fong, Nicholas R. Rizik, Feng Fu |
X Demographics
The data shown below were collected from the profiles of 17 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 3 | 18% |
| Morocco | 1 | 6% |
| Venezuela, Bolivarian Republic of | 1 | 6% |
| Argentina | 1 | 6% |
| Ghana | 1 | 6% |
| Brazil | 1 | 6% |
| India | 1 | 6% |
| United Kingdom | 1 | 6% |
| Unknown | 7 | 41% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 14 | 82% |
| Scientists | 3 | 18% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 40 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 15% |
| Researcher | 4 | 10% |
| Student > Master | 2 | 5% |
| Student > Doctoral Student | 1 | 3% |
| Student > Bachelor | 1 | 3% |
| Other | 5 | 13% |
| Unknown | 21 | 53% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 10% |
| Business, Management and Accounting | 4 | 10% |
| Economics, Econometrics and Finance | 4 | 10% |
| Engineering | 2 | 5% |
| Unspecified | 1 | 3% |
| Other | 4 | 10% |
| Unknown | 21 | 53% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 23 January 2022.
All research outputs
#3,006,117
of 25,713,737 outputs
Outputs from Frontiers in Physics
#111
of 4,531 outputs
Outputs of similar age
#58,997
of 361,195 outputs
Outputs of similar age from Frontiers in Physics
#4
of 37 outputs
Altmetric has tracked 25,713,737 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,531 research outputs from this source. They receive a mean Attention Score of 2.5. This one has done particularly well, scoring higher than 97% 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 361,195 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 83% of its contemporaries.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.