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Mendeley readers
Attention Score in Context
| Title |
Automation of literature screening using machine learning in medical evidence synthesis: a diagnostic test accuracy systematic review protocol
|
|---|---|
| Published in |
Systematic Reviews, January 2022
|
| DOI | 10.1186/s13643-021-01881-5 |
| Pubmed ID | |
| Authors |
Yuelun Zhang, Siyu Liang, Yunying Feng, Qing Wang, Feng Sun, Shi Chen, Yiying Yang, Xin He, Huijuan Zhu, Hui Pan |
Mendeley readers
The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 63 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 13% |
| Professor > Associate Professor | 5 | 8% |
| Librarian | 3 | 5% |
| Student > Ph. D. Student | 3 | 5% |
| Professor | 2 | 3% |
| Other | 8 | 13% |
| Unknown | 34 | 54% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 7 | 11% |
| Computer Science | 5 | 8% |
| Agricultural and Biological Sciences | 4 | 6% |
| Engineering | 3 | 5% |
| Nursing and Health Professions | 2 | 3% |
| Other | 7 | 11% |
| Unknown | 35 | 56% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 February 2022.
All research outputs
#2,493,921
of 23,130,383 outputs
Outputs from Systematic Reviews
#450
of 2,013 outputs
Outputs of similar age
#66,903
of 538,693 outputs
Outputs of similar age from Systematic Reviews
#5
of 43 outputs
Altmetric has tracked 23,130,383 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,013 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.8. This one has done well, scoring higher than 77% 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 538,693 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 43 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.