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X Demographics
Mendeley readers
Attention Score in Context
Title |
Guidance for using artificial intelligence for title and abstract screening while conducting knowledge syntheses
|
---|---|
Published in |
BMC Medical Research Methodology, December 2021
|
DOI | 10.1186/s12874-021-01451-2 |
Pubmed ID | |
Authors |
Candyce Hamel, Mona Hersi, Shannon E. Kelly, Andrea C. Tricco, Sharon Straus, George Wells, Ba’ Pham, Brian Hutton |
X Demographics
The data shown below were collected from the profiles of 57 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 | 10 | 18% |
Canada | 9 | 16% |
Spain | 5 | 9% |
Colombia | 2 | 4% |
Turkey | 1 | 2% |
United States | 1 | 2% |
Ireland | 1 | 2% |
Chile | 1 | 2% |
Argentina | 1 | 2% |
Other | 5 | 9% |
Unknown | 21 | 37% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 32 | 56% |
Scientists | 14 | 25% |
Practitioners (doctors, other healthcare professionals) | 8 | 14% |
Science communicators (journalists, bloggers, editors) | 3 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 62 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 7 | 11% |
Other | 6 | 10% |
Researcher | 6 | 10% |
Student > Ph. D. Student | 5 | 8% |
Librarian | 4 | 6% |
Other | 12 | 19% |
Unknown | 22 | 35% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 13 | 21% |
Social Sciences | 5 | 8% |
Computer Science | 3 | 5% |
Psychology | 3 | 5% |
Biochemistry, Genetics and Molecular Biology | 2 | 3% |
Other | 12 | 19% |
Unknown | 24 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 40. 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 21 March 2023.
All research outputs
#1,036,395
of 25,746,891 outputs
Outputs from BMC Medical Research Methodology
#99
of 2,312 outputs
Outputs of similar age
#25,416
of 517,017 outputs
Outputs of similar age from BMC Medical Research Methodology
#3
of 55 outputs
Altmetric has tracked 25,746,891 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,312 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has done particularly well, scoring higher than 95% 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 517,017 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 95% of its contemporaries.
We're also able to compare this research output to 55 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 94% of its contemporaries.