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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Aligning text mining and machine learning algorithms with best practices for study selection in systematic literature reviews
|
|---|---|
| Published in |
Systematic Reviews, December 2020
|
| DOI | 10.1186/s13643-020-01520-5 |
| Pubmed ID | |
| Authors |
E. Popoff, M. Besada, J. P. Jansen, S. Cope, S. Kanters |
X Demographics
The data shown below were collected from the profiles of 20 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 | 3 | 15% |
| United Kingdom | 2 | 10% |
| Canada | 2 | 10% |
| Italy | 1 | 5% |
| France | 1 | 5% |
| Germany | 1 | 5% |
| Switzerland | 1 | 5% |
| Unknown | 9 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 19 | 95% |
| Scientists | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 67 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 13% |
| Researcher | 8 | 12% |
| Librarian | 4 | 6% |
| Professor | 4 | 6% |
| Other | 4 | 6% |
| Other | 10 | 15% |
| Unknown | 28 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 12 | 18% |
| Medicine and Dentistry | 5 | 7% |
| Business, Management and Accounting | 5 | 7% |
| Biochemistry, Genetics and Molecular Biology | 2 | 3% |
| Agricultural and Biological Sciences | 2 | 3% |
| Other | 15 | 22% |
| Unknown | 26 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 15 January 2024.
All research outputs
#2,518,630
of 25,727,480 outputs
Outputs from Systematic Reviews
#420
of 2,245 outputs
Outputs of similar age
#66,860
of 525,577 outputs
Outputs of similar age from Systematic Reviews
#7
of 65 outputs
Altmetric has tracked 25,727,480 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,245 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.1. This one has done well, scoring higher than 81% 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 525,577 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 65 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.