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X Demographics
Mendeley readers
Attention Score in Context
| Title |
BloombergGPT: A Large Language Model for Finance
|
|---|---|
| Published in |
arXiv, March 2023
|
| Authors |
Shijie Wu, Ozan Irsoy, Steven Lu, Vadim Dabravolski, Mark Dredze, Sebastian Gehrmann, Prabhanjan Kambadur, David Rosenberg, Gideon Mann |
X Demographics
The data shown below were collected from the profiles of 2,882 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 | 314 | 11% |
| Japan | 106 | 4% |
| United Kingdom | 61 | 2% |
| India | 54 | 2% |
| China | 39 | 1% |
| Canada | 34 | 1% |
| Brazil | 33 | 1% |
| France | 27 | <1% |
| Spain | 26 | <1% |
| Other | 319 | 11% |
| Unknown | 1869 | 65% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2587 | 90% |
| Scientists | 250 | 9% |
| Science communicators (journalists, bloggers, editors) | 36 | 1% |
| Practitioners (doctors, other healthcare professionals) | 9 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 544 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 544 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 69 | 13% |
| Student > Ph. D. Student | 65 | 12% |
| Student > Master | 41 | 8% |
| Student > Bachelor | 27 | 5% |
| Other | 19 | 3% |
| Other | 51 | 9% |
| Unknown | 272 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 146 | 27% |
| Engineering | 30 | 6% |
| Business, Management and Accounting | 17 | 3% |
| Economics, Econometrics and Finance | 15 | 3% |
| Physics and Astronomy | 8 | 1% |
| Other | 49 | 9% |
| Unknown | 279 | 51% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2008. 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 June 2024.
All research outputs
#4,788
of 26,225,548 outputs
Outputs from arXiv
#40
of 979,629 outputs
Outputs of similar age
#124
of 429,697 outputs
Outputs of similar age from arXiv
#7
of 34,211 outputs
Altmetric has tracked 26,225,548 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 979,629 research outputs from this source. They receive a mean Attention Score of 4.2. 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 429,697 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 99% of its contemporaries.
We're also able to compare this research output to 34,211 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 99% of its contemporaries.