You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
Title |
The Potential of Generative Artificial Intelligence Across Disciplines: Perspectives and Future Directions
|
---|---|
Published in |
Journal of Computer Information Systems, October 2023
|
DOI | 10.1080/08874417.2023.2261010 |
Authors |
Keng-Boon Ooi, Garry Wei-Han Tan, Mostafa Al-Emran, Mohammed A. Al-Sharafi, Alexandru Capatina, Amrita Chakraborty, Yogesh K. Dwivedi, Tzu-Ling Huang, Arpan Kumar Kar, Voon-Hsien Lee, Xiu-Ming Loh, Adrian Micu, Patrick Mikalef, Emmanuel Mogaji, Neeraj Pandey, Ramakrishnan Raman, Nripendra P. Rana, Prianka Sarker, Anshuman Sharma, Ching-I Teng, Samuel Fosso Wamba, Lai-Wan Wong |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Peru | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 276 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 276 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 30 | 11% |
Professor > Associate Professor | 14 | 5% |
Student > Doctoral Student | 12 | 4% |
Researcher | 10 | 4% |
Student > Master | 10 | 4% |
Other | 36 | 13% |
Unknown | 164 | 59% |
Readers by discipline | Count | As % |
---|---|---|
Business, Management and Accounting | 31 | 11% |
Computer Science | 25 | 9% |
Social Sciences | 12 | 4% |
Engineering | 9 | 3% |
Unspecified | 7 | 3% |
Other | 20 | 7% |
Unknown | 172 | 62% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 25 March 2024.
All research outputs
#17,424,278
of 25,562,515 outputs
Outputs from Journal of Computer Information Systems
#42
of 81 outputs
Outputs of similar age
#197,402
of 358,013 outputs
Outputs of similar age from Journal of Computer Information Systems
#2
of 2 outputs
Altmetric has tracked 25,562,515 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 81 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one is in the 13th percentile – i.e., 13% of its peers scored the same or lower than it.
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 358,013 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.