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X Demographics
Mendeley readers
Attention Score in Context
| Title |
GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models
|
|---|---|
| Published in |
arXiv, March 2023
|
| Authors |
Tyna Eloundou, Sam Manning, Pamela Mishkin, Daniel Rock |
X Demographics
The data shown below were collected from the profiles of 5,607 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 650 | 12% |
| United States | 464 | 8% |
| France | 148 | 3% |
| United Kingdom | 111 | 2% |
| Spain | 104 | 2% |
| Canada | 66 | 1% |
| Colombia | 63 | 1% |
| India | 54 | <1% |
| Brazil | 51 | <1% |
| Other | 739 | 13% |
| Unknown | 3157 | 56% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5217 | 93% |
| Scientists | 301 | 5% |
| Science communicators (journalists, bloggers, editors) | 62 | 1% |
| Practitioners (doctors, other healthcare professionals) | 25 | <1% |
| Unknown | 2 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 855 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 855 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 87 | 10% |
| Student > Ph. D. Student | 84 | 10% |
| Student > Master | 67 | 8% |
| Student > Bachelor | 46 | 5% |
| Unspecified | 39 | 5% |
| Other | 134 | 16% |
| Unknown | 398 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 121 | 14% |
| Business, Management and Accounting | 58 | 7% |
| Economics, Econometrics and Finance | 39 | 5% |
| Unspecified | 39 | 5% |
| Engineering | 36 | 4% |
| Other | 148 | 17% |
| Unknown | 414 | 48% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6363. 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 20 May 2024.
All research outputs
#510
of 25,941,588 outputs
Outputs from arXiv
#5
of 957,132 outputs
Outputs of similar age
#9
of 440,524 outputs
Outputs of similar age from arXiv
#1
of 33,827 outputs
Altmetric has tracked 25,941,588 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 957,132 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 440,524 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 33,827 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.