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Assessing the Quality of Decision Support Technologies Using the International Patient Decision Aid Standards instrument (IPDASi)

Overview of attention for article published in PLOS ONE, March 2009
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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 (84th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

policy
2 policy sources
wikipedia
3 Wikipedia pages

Citations

dimensions_citation
377 Dimensions

Readers on

mendeley
372 Mendeley
citeulike
2 CiteULike
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Title
Assessing the Quality of Decision Support Technologies Using the International Patient Decision Aid Standards instrument (IPDASi)
Published in
PLOS ONE, March 2009
DOI 10.1371/journal.pone.0004705
Pubmed ID
Authors

Glyn Elwyn, Annette M. O'Connor, Carol Bennett, Robert G. Newcombe, Mary Politi, Marie-Anne Durand, Elizabeth Drake, Natalie Joseph-Williams, Sara Khangura, Anton Saarimaki, Stephanie Sivell, Mareike Stiel, Steven J. Bernstein, Nananda Col, Angela Coulter, Karen Eden, Martin Härter, Margaret Holmes Rovner, Nora Moumjid, Dawn Stacey, Richard Thomson, Tim Whelan, Trudy van der Weijden, Adrian Edwards

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 372 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 2%
United Kingdom 3 <1%
Canada 2 <1%
Spain 2 <1%
Argentina 1 <1%
Ireland 1 <1%
Netherlands 1 <1%
Denmark 1 <1%
Unknown 353 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 68 18%
Student > Ph. D. Student 58 16%
Student > Master 57 15%
Professor > Associate Professor 26 7%
Other 25 7%
Other 80 22%
Unknown 58 16%
Readers by discipline Count As %
Medicine and Dentistry 132 35%
Psychology 32 9%
Nursing and Health Professions 30 8%
Social Sciences 27 7%
Computer Science 18 5%
Other 48 13%
Unknown 85 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 March 2020.
All research outputs
#3,919,343
of 26,017,215 outputs
Outputs from PLOS ONE
#50,712
of 225,486 outputs
Outputs of similar age
#13,483
of 112,586 outputs
Outputs of similar age from PLOS ONE
#144
of 534 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 225,486 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.8. This one has done well, scoring higher than 77% 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 112,586 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 84% of its contemporaries.
We're also able to compare this research output to 534 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 70% of its contemporaries.