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X Demographics
Mendeley readers
Attention Score in Context
Title |
Machine learning computational tools to assist the performance of systematic reviews: A mapping review
|
---|---|
Published in |
BMC Medical Research Methodology, December 2022
|
DOI | 10.1186/s12874-022-01805-4 |
Pubmed ID | |
Authors |
Ramon Cierco Jimenez, Teresa Lee, Nicolás Rosillo, Reynalda Cordova, Ian A Cree, Angel Gonzalez, Blanca Iciar Indave Ruiz |
X Demographics
The data shown below were collected from the profiles of 98 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 | 12 | 12% |
Spain | 8 | 8% |
United States | 5 | 5% |
Germany | 4 | 4% |
Ecuador | 3 | 3% |
Canada | 3 | 3% |
Colombia | 2 | 2% |
Mexico | 2 | 2% |
Norway | 2 | 2% |
Other | 21 | 21% |
Unknown | 36 | 37% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 58 | 59% |
Scientists | 25 | 26% |
Practitioners (doctors, other healthcare professionals) | 9 | 9% |
Science communicators (journalists, bloggers, editors) | 6 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 40 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Librarian | 5 | 13% |
Researcher | 5 | 13% |
Student > Doctoral Student | 2 | 5% |
Other | 2 | 5% |
Professor | 2 | 5% |
Other | 5 | 13% |
Unknown | 19 | 48% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 7 | 18% |
Agricultural and Biological Sciences | 2 | 5% |
Biochemistry, Genetics and Molecular Biology | 1 | 3% |
Business, Management and Accounting | 1 | 3% |
Computer Science | 1 | 3% |
Other | 6 | 15% |
Unknown | 22 | 55% |
Attention Score in Context
This research output has an Altmetric Attention Score of 59. 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 March 2024.
All research outputs
#728,219
of 25,651,057 outputs
Outputs from BMC Medical Research Methodology
#53
of 2,304 outputs
Outputs of similar age
#16,535
of 482,962 outputs
Outputs of similar age from BMC Medical Research Methodology
#1
of 62 outputs
Altmetric has tracked 25,651,057 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,304 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one has done particularly well, scoring higher than 97% 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 482,962 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 96% of its contemporaries.
We're also able to compare this research output to 62 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 98% of its contemporaries.