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Software engineering principles address current problems in the systematic review ecosystem

Overview of attention for article published in Journal of Clinical Epidemiology, May 2019
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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 (79th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

Mentioned by

twitter
16 tweeters
reddit
1 Redditor

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
17 Mendeley
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Title
Software engineering principles address current problems in the systematic review ecosystem
Published in
Journal of Clinical Epidemiology, May 2019
DOI 10.1016/j.jclinepi.2018.12.014
Pubmed ID
Authors

Rabia Bashir, Adam G. Dunn

Twitter Demographics

The data shown below were collected from the profiles of 16 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 %
Student > Bachelor 2 12%
Researcher 2 12%
Other 2 12%
Lecturer 2 12%
Student > Ph. D. Student 2 12%
Other 5 29%
Unknown 2 12%
Readers by discipline Count As %
Computer Science 6 35%
Medicine and Dentistry 2 12%
Pharmacology, Toxicology and Pharmaceutical Science 1 6%
Unspecified 1 6%
Agricultural and Biological Sciences 1 6%
Other 2 12%
Unknown 4 24%

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 04 August 2019.
All research outputs
#2,198,819
of 16,177,747 outputs
Outputs from Journal of Clinical Epidemiology
#811
of 3,184 outputs
Outputs of similar age
#77,979
of 388,632 outputs
Outputs of similar age from Journal of Clinical Epidemiology
#29
of 62 outputs
Altmetric has tracked 16,177,747 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,184 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.1. This one has gotten more attention than average, scoring higher than 74% 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 388,632 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 79% of its contemporaries.
We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.