| Title |
Assessing the accuracy of machine-assisted abstract screening with DistillerAI: a user study
|
|---|---|
| Published in |
Systematic Reviews, November 2019
|
| DOI | 10.1186/s13643-019-1221-3 |
| Pubmed ID | |
| Authors |
Gerald Gartlehner, Gernot Wagner, Linda Lux, Lisa Affengruber, Andreea Dobrescu, Angela Kaminski-Hartenthaler, Meera Viswanathan |
X Demographics
The data shown below were collected from the profiles of 22 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 | 6 | 27% |
| Australia | 2 | 9% |
| United States | 2 | 9% |
| Netherlands | 1 | 5% |
| France | 1 | 5% |
| Belgium | 1 | 5% |
| Unknown | 9 | 41% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 45% |
| Scientists | 9 | 41% |
| Practitioners (doctors, other healthcare professionals) | 3 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 58 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Librarian | 6 | 10% |
| Researcher | 6 | 10% |
| Student > Ph. D. Student | 5 | 9% |
| Student > Bachelor | 4 | 7% |
| Student > Master | 4 | 7% |
| Other | 7 | 12% |
| Unknown | 26 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 12 | 21% |
| Computer Science | 5 | 9% |
| Psychology | 3 | 5% |
| Nursing and Health Professions | 2 | 3% |
| Social Sciences | 2 | 3% |
| Other | 5 | 9% |
| Unknown | 29 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 24. 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 2023.
All research outputs
#1,397,043
of 23,495,502 outputs
Outputs from Systematic Reviews
#210
of 2,041 outputs
Outputs of similar age
#31,482
of 359,934 outputs
Outputs of similar age from Systematic Reviews
#10
of 77 outputs
Altmetric has tracked 23,495,502 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,041 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.9. This one has done well, scoring higher than 89% 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 359,934 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 77 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.