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X Demographics
Mendeley readers
Attention Score in Context
| Title |
ChatGPT for (Finance) research: The Bananarama Conjecture
|
|---|---|
| Published in |
Finance Research Letters, May 2023
|
| DOI | 10.1016/j.frl.2023.103662 |
| Authors |
Michael Dowling, Brian Lucey |
X Demographics
The data shown below were collected from the profiles of 27 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 | 4 | 15% |
| United Kingdom | 3 | 11% |
| Canada | 1 | 4% |
| Indonesia | 1 | 4% |
| United Arab Emirates | 1 | 4% |
| Singapore | 1 | 4% |
| Italy | 1 | 4% |
| Unknown | 15 | 56% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 23 | 85% |
| Scientists | 3 | 11% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 411 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 411 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 42 | 10% |
| Lecturer | 25 | 6% |
| Researcher | 24 | 6% |
| Student > Doctoral Student | 20 | 5% |
| Professor > Associate Professor | 19 | 5% |
| Other | 60 | 15% |
| Unknown | 221 | 54% |
| Readers by discipline | Count | As % |
|---|---|---|
| Business, Management and Accounting | 49 | 12% |
| Economics, Econometrics and Finance | 27 | 7% |
| Computer Science | 27 | 7% |
| Social Sciences | 16 | 4% |
| Engineering | 13 | 3% |
| Other | 46 | 11% |
| Unknown | 233 | 57% |
Attention Score in Context
This research output has an Altmetric Attention Score of 202. 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 08 January 2024.
All research outputs
#197,641
of 25,658,139 outputs
Outputs from Finance Research Letters
#3
of 789 outputs
Outputs of similar age
#4,868
of 409,362 outputs
Outputs of similar age from Finance Research Letters
#1
of 30 outputs
Altmetric has tracked 25,658,139 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 789 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one has done particularly well, scoring higher than 99% 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 409,362 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 98% of its contemporaries.
We're also able to compare this research output to 30 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 96% of its contemporaries.