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Applying software engineering principles to address current problems in the systematic review ecosystem

Overview of attention for article published in Journal of Clinical Epidemiology, December 2018
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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 (76th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
14 tweeters

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
4 Mendeley
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Title
Applying software engineering principles to address current problems in the systematic review ecosystem
Published in
Journal of Clinical Epidemiology, December 2018
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 14 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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 50%
Student > Postgraduate 1 25%
Lecturer 1 25%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 1 25%
Unspecified 1 25%
Computer Science 1 25%
Agricultural and Biological Sciences 1 25%

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 02 January 2019.
All research outputs
#1,874,357
of 12,635,028 outputs
Outputs from Journal of Clinical Epidemiology
#616
of 2,514 outputs
Outputs of similar age
#65,960
of 281,106 outputs
Outputs of similar age from Journal of Clinical Epidemiology
#34
of 67 outputs
Altmetric has tracked 12,635,028 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,514 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.3. This one has done well, scoring higher than 75% 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 281,106 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 76% of its contemporaries.
We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.