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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A question of trust: can we build an evidence base to gain trust in systematic review automation technologies?
|
|---|---|
| Published in |
Systematic Reviews, June 2019
|
| DOI | 10.1186/s13643-019-1062-0 |
| Pubmed ID | |
| Authors |
Annette M. O’Connor, Guy Tsafnat, James Thomas, Paul Glasziou, Stephen B. Gilbert, Brian Hutton |
X Demographics
The data shown below were collected from the profiles of 36 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 | 8 | 22% |
| Australia | 3 | 8% |
| Canada | 3 | 8% |
| United States | 1 | 3% |
| Netherlands | 1 | 3% |
| France | 1 | 3% |
| South Africa | 1 | 3% |
| Chile | 1 | 3% |
| Unknown | 17 | 47% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 25 | 69% |
| Scientists | 6 | 17% |
| Practitioners (doctors, other healthcare professionals) | 4 | 11% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 116 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 116 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 16% |
| Student > Master | 14 | 12% |
| Student > Ph. D. Student | 14 | 12% |
| Student > Bachelor | 5 | 4% |
| Student > Doctoral Student | 5 | 4% |
| Other | 21 | 18% |
| Unknown | 38 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 17 | 15% |
| Medicine and Dentistry | 15 | 13% |
| Business, Management and Accounting | 10 | 9% |
| Social Sciences | 6 | 5% |
| Engineering | 6 | 5% |
| Other | 19 | 16% |
| Unknown | 43 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. 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 20 July 2019.
All research outputs
#1,803,412
of 25,022,483 outputs
Outputs from Systematic Reviews
#284
of 2,182 outputs
Outputs of similar age
#38,079
of 358,034 outputs
Outputs of similar age from Systematic Reviews
#8
of 59 outputs
Altmetric has tracked 25,022,483 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,182 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.2. This one has done well, scoring higher than 86% 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 358,034 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 89% of its contemporaries.
We're also able to compare this research output to 59 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.