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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Human resource management in the age of generative artificial intelligence: Perspectives and research directions on ChatGPT
|
|---|---|
| Published in |
Human Resource Management Journal, July 2023
|
| DOI | 10.1111/1748-8583.12524 |
| Authors |
Pawan Budhwar, Soumyadeb Chowdhury, Geoffrey Wood, Herman Aguinis, Greg J. Bamber, Jose R. Beltran, Paul Boselie, Fang Lee Cooke, Stephanie Decker, Angelo DeNisi, Prasanta Kumar Dey, David Guest, Andrew J. Knoblich, Ashish Malik, Jaap Paauwe, Savvas Papagiannidis, Charmi Patel, Vijay Pereira, Shuang Ren, Steven Rogelberg, Mark N. K. Saunders, Rosalie L. Tung, Arup Varma |
X Demographics
The data shown below were collected from the profiles of 22 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 Kingdom | 5 | 23% |
| United States | 2 | 9% |
| Brazil | 1 | 5% |
| Spain | 1 | 5% |
| Korea, Republic of | 1 | 5% |
| Poland | 1 | 5% |
| Unknown | 11 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 55% |
| Scientists | 9 | 41% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 608 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 608 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 62 | 10% |
| Student > Ph. D. Student | 50 | 8% |
| Student > Master | 35 | 6% |
| Lecturer | 30 | 5% |
| Researcher | 17 | 3% |
| Other | 102 | 17% |
| Unknown | 312 | 51% |
| Readers by discipline | Count | As % |
|---|---|---|
| Business, Management and Accounting | 99 | 16% |
| Unspecified | 59 | 10% |
| Social Sciences | 28 | 5% |
| Computer Science | 22 | 4% |
| Engineering | 18 | 3% |
| Other | 57 | 9% |
| Unknown | 325 | 53% |
Attention Score in Context
This research output has an Altmetric Attention Score of 25. 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 14 May 2024.
All research outputs
#1,561,334
of 25,905,864 outputs
Outputs from Human Resource Management Journal
#47
of 578 outputs
Outputs of similar age
#28,621
of 370,081 outputs
Outputs of similar age from Human Resource Management Journal
#1
of 7 outputs
Altmetric has tracked 25,905,864 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 578 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.9. This one has done particularly well, scoring higher than 91% 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 370,081 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 92% of its contemporaries.
We're also able to compare this research output to 7 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