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Assessing the accuracy of machine-assisted abstract screening with DistillerAI: a user study

Overview of attention for article published in Systematic Reviews, November 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

blogs
1 blog
twitter
24 tweeters

Readers on

mendeley
3 Mendeley
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

Twitter Demographics

The data shown below were collected from the profiles of 24 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 33%
Librarian 1 33%
Student > Doctoral Student 1 33%
Readers by discipline Count As %
Unspecified 1 33%
Nursing and Health Professions 1 33%
Medicine and Dentistry 1 33%

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 26 November 2019.
All research outputs
#816,600
of 14,064,239 outputs
Outputs from Systematic Reviews
#160
of 1,239 outputs
Outputs of similar age
#30,508
of 302,612 outputs
Outputs of similar age from Systematic Reviews
#21
of 247 outputs
Altmetric has tracked 14,064,239 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 1,239 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.1. 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 302,612 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 247 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.