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Automatic Evidence Retrieval for Systematic Reviews

Overview of attention for article published in Journal of Medical Internet Research, October 2014
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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 (93rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

policy
1 policy source
twitter
39 tweeters

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
67 Mendeley
citeulike
1 CiteULike
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Title
Automatic Evidence Retrieval for Systematic Reviews
Published in
Journal of Medical Internet Research, October 2014
DOI 10.2196/jmir.3369
Pubmed ID
Authors

Miew Keen Choong, Filippo Galgani, Adam G Dunn, Guy Tsafnat

Abstract

Snowballing involves recursively pursuing relevant references cited in the retrieved literature and adding them to the search results. Snowballing is an alternative approach to discover additional evidence that was not retrieved through conventional search. Snowballing's effectiveness makes it best practice in systematic reviews despite being time-consuming and tedious.

Twitter Demographics

The data shown below were collected from the profiles of 39 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 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 1%
Brazil 1 1%
Finland 1 1%
United Kingdom 1 1%
Canada 1 1%
Spain 1 1%
Unknown 61 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 22%
Student > Master 14 21%
Professor 6 9%
Student > Doctoral Student 6 9%
Student > Bachelor 6 9%
Other 14 21%
Unknown 6 9%
Readers by discipline Count As %
Medicine and Dentistry 19 28%
Computer Science 13 19%
Nursing and Health Professions 5 7%
Business, Management and Accounting 5 7%
Engineering 4 6%
Other 14 21%
Unknown 7 10%

Attention Score in Context

This research output has an Altmetric Attention Score of 23. 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 12 April 2019.
All research outputs
#830,592
of 14,999,430 outputs
Outputs from Journal of Medical Internet Research
#777
of 3,594 outputs
Outputs of similar age
#13,740
of 212,932 outputs
Outputs of similar age from Journal of Medical Internet Research
#11
of 30 outputs
Altmetric has tracked 14,999,430 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 3,594 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.7. This one has done well, scoring higher than 78% 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 212,932 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 93% of its contemporaries.
We're also able to compare this research output to 30 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 63% of its contemporaries.