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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Detecting generative artificial intelligence in scientific articles: Evasion techniques and implications for scientific integrity
|
|---|---|
| Published in |
Orthopaedics and Traumatology, October 2023
|
| DOI | 10.1016/j.otsr.2023.103706 |
| Pubmed ID | |
| Authors |
Guillaume-Anthony Odri, Diane Ji Yun Yoon |
X Demographics
The data shown below were collected from the profiles of 11 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 | 2 | 18% |
| Malaysia | 1 | 9% |
| Colombia | 1 | 9% |
| United Kingdom | 1 | 9% |
| Italy | 1 | 9% |
| Japan | 1 | 9% |
| Unknown | 4 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 73% |
| Scientists | 3 | 27% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 3 | 14% |
| Lecturer | 2 | 10% |
| Librarian | 1 | 5% |
| Student > Master | 1 | 5% |
| Researcher | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 12 | 57% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 3 | 14% |
| Arts and Humanities | 1 | 5% |
| Business, Management and Accounting | 1 | 5% |
| Economics, Econometrics and Finance | 1 | 5% |
| Computer Science | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 12 | 57% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 06 November 2023.
All research outputs
#6,520,791
of 25,623,883 outputs
Outputs from Orthopaedics and Traumatology
#132
of 754 outputs
Outputs of similar age
#92,880
of 357,941 outputs
Outputs of similar age from Orthopaedics and Traumatology
#2
of 8 outputs
Altmetric has tracked 25,623,883 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 754 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 82% 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 357,941 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.