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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Usefulness of machine learning softwares to screen titles of systematic reviews: a methodological study
|
|---|---|
| Published in |
Systematic Reviews, April 2023
|
| DOI | 10.1186/s13643-023-02231-3 |
| Pubmed ID | |
| Authors |
Ana Helena Salles dos Reis, Ana Luiza Miranda de Oliveira, Carolina Fritsch, James Zouch, Paulo Ferreira, Janaine Cunha Polese |
X Demographics
The data shown below were collected from the profiles of 23 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 5 | 22% |
| Japan | 3 | 13% |
| India | 3 | 13% |
| United Kingdom | 2 | 9% |
| United States | 1 | 4% |
| Canada | 1 | 4% |
| Unknown | 8 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 17 | 74% |
| Scientists | 4 | 17% |
| Practitioners (doctors, other healthcare professionals) | 2 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 13% |
| Student > Ph. D. Student | 2 | 13% |
| Other | 1 | 7% |
| Student > Master | 1 | 7% |
| Professor > Associate Professor | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 8 | 53% |
| Readers by discipline | Count | As % |
|---|---|---|
| Business, Management and Accounting | 1 | 7% |
| Nursing and Health Professions | 1 | 7% |
| Computer Science | 1 | 7% |
| Psychology | 1 | 7% |
| Medicine and Dentistry | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 9 | 60% |
Attention Score in Context
This research output has an Altmetric Attention Score of 21. 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 02 September 2023.
All research outputs
#1,761,743
of 25,391,701 outputs
Outputs from Systematic Reviews
#276
of 2,229 outputs
Outputs of similar age
#35,363
of 415,664 outputs
Outputs of similar age from Systematic Reviews
#9
of 46 outputs
Altmetric has tracked 25,391,701 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,229 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 87% 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 415,664 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 91% of its contemporaries.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.