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X Demographics
Mendeley readers
Attention Score in Context
Title |
ChatGPT for good? On opportunities and challenges of large language models for education
|
---|---|
Published in |
Learning & Individual Differences, April 2023
|
DOI | 10.1016/j.lindif.2023.102274 |
Authors |
Enkelejda Kasneci, Kathrin Sessler, Stefan Küchemann, Maria Bannert, Daryna Dementieva, Frank Fischer, Urs Gasser, Georg Groh, Stephan Günnemann, Eyke Hüllermeier, Stepha Krusche, Gitta Kutyniok, Tilman Michaeli, Claudia Nerdel, Jürgen Pfeffer, Oleksandra Poquet, Michael Sailer, Albrecht Schmidt, Tina Seidel, Matthias Stadler, Jochen Weller, Jochen Kuhn, Gjergji Kasneci |
X Demographics
The data shown below were collected from the profiles of 59 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 10 | 17% |
Japan | 7 | 12% |
United States | 4 | 7% |
Spain | 3 | 5% |
India | 2 | 3% |
Canada | 1 | 2% |
Brazil | 1 | 2% |
Mexico | 1 | 2% |
Switzerland | 1 | 2% |
Other | 1 | 2% |
Unknown | 28 | 47% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 42 | 71% |
Scientists | 13 | 22% |
Practitioners (doctors, other healthcare professionals) | 2 | 3% |
Science communicators (journalists, bloggers, editors) | 2 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 2,012 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 2012 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 138 | 7% |
Unspecified | 128 | 6% |
Student > Bachelor | 117 | 6% |
Lecturer | 106 | 5% |
Student > Master | 102 | 5% |
Other | 342 | 17% |
Unknown | 1079 | 54% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 176 | 9% |
Unspecified | 133 | 7% |
Social Sciences | 128 | 6% |
Business, Management and Accounting | 92 | 5% |
Engineering | 80 | 4% |
Other | 279 | 14% |
Unknown | 1124 | 56% |
Attention Score in Context
This research output has an Altmetric Attention Score of 137. 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 March 2024.
All research outputs
#309,556
of 25,800,372 outputs
Outputs from Learning & Individual Differences
#17
of 995 outputs
Outputs of similar age
#7,275
of 425,557 outputs
Outputs of similar age from Learning & Individual Differences
#1
of 9 outputs
Altmetric has tracked 25,800,372 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 995 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.5. This one has done particularly well, scoring higher than 98% 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 425,557 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 9 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