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X Demographics
Mendeley readers
Attention Score in Context
Title |
Are ChatGPT and large language models “the answer” to bringing us closer to systematic review automation?
|
---|---|
Published in |
Systematic Reviews, April 2023
|
DOI | 10.1186/s13643-023-02243-z |
Pubmed ID | |
Authors |
Riaz Qureshi, Daniel Shaughnessy, Kayden A. R. Gill, Karen A. Robinson, Tianjing Li, Eitan Agai |
X Demographics
The data shown below were collected from the profiles of 40 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 | 8 | 20% |
United States | 4 | 10% |
Japan | 2 | 5% |
Colombia | 1 | 3% |
France | 1 | 3% |
Slovenia | 1 | 3% |
Brazil | 1 | 3% |
Spain | 1 | 3% |
South Africa | 1 | 3% |
Other | 2 | 5% |
Unknown | 18 | 45% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 20 | 50% |
Practitioners (doctors, other healthcare professionals) | 10 | 25% |
Scientists | 5 | 13% |
Science communicators (journalists, bloggers, editors) | 5 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 95 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Librarian | 9 | 9% |
Researcher | 9 | 9% |
Lecturer | 6 | 6% |
Student > Ph. D. Student | 5 | 5% |
Student > Master | 5 | 5% |
Other | 19 | 20% |
Unknown | 42 | 44% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 13 | 14% |
Computer Science | 10 | 11% |
Business, Management and Accounting | 7 | 7% |
Engineering | 6 | 6% |
Agricultural and Biological Sciences | 3 | 3% |
Other | 13 | 14% |
Unknown | 43 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 29. 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 September 2023.
All research outputs
#1,351,940
of 25,663,438 outputs
Outputs from Systematic Reviews
#193
of 2,242 outputs
Outputs of similar age
#27,788
of 410,612 outputs
Outputs of similar age from Systematic Reviews
#4
of 45 outputs
Altmetric has tracked 25,663,438 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,242 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.2. 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 410,612 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 93% of its contemporaries.
We're also able to compare this research output to 45 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 91% of its contemporaries.