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A rule‐based approach for automatically extracting data from systematic reviews and their updates to model the risk of conclusion change

Overview of attention for article published in Research Synthesis Methods, January 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (74th percentile)

Mentioned by

twitter
13 tweeters

Readers on

mendeley
17 Mendeley
Title
A rule‐based approach for automatically extracting data from systematic reviews and their updates to model the risk of conclusion change
Published in
Research Synthesis Methods, January 2021
DOI 10.1002/jrsm.1473
Pubmed ID
Authors

Rabia Bashir, Adam G. Dunn, Didi Surian

Twitter Demographics

The data shown below were collected from the profiles of 13 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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 29%
Student > Master 4 24%
Student > Ph. D. Student 3 18%
Student > Bachelor 1 6%
Other 1 6%
Other 0 0%
Unknown 3 18%
Readers by discipline Count As %
Psychology 5 29%
Medicine and Dentistry 3 18%
Social Sciences 2 12%
Computer Science 1 6%
Agricultural and Biological Sciences 1 6%
Other 2 12%
Unknown 3 18%

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 14 January 2021.
All research outputs
#3,274,975
of 18,217,940 outputs
Outputs from Research Synthesis Methods
#163
of 380 outputs
Outputs of similar age
#106,316
of 418,198 outputs
Outputs of similar age from Research Synthesis Methods
#12
of 14 outputs
Altmetric has tracked 18,217,940 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 380 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.4. This one has gotten more attention than average, scoring higher than 57% 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 418,198 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.