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A comparative evaluation of PDQ-Evidence

Overview of attention for article published in Health Research Policy and Systems, March 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

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1 blog
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Title
A comparative evaluation of PDQ-Evidence
Published in
Health Research Policy and Systems, March 2018
DOI 10.1186/s12961-018-0299-8
Pubmed ID
Authors

Marit Johansen, Gabriel Rada, Sarah Rosenbaum, Elizabeth Paulsen, Nkengafac Villyen Motaze, Newton Opiyo, Charles S. Wiysonge, Yunpeng Ding, Fidele K. Mukinda, Andrew D. Oxman

Abstract

A strategy for minimising the time and obstacles to accessing systematic reviews of health system evidence is to collect them in a freely available database and make them easy to find through a simple 'Google-style' search interface. PDQ-Evidence was developed in this way. The objective of this study was to compare PDQ-Evidence to six other databases, namely Cochrane Library, EVIPNet VHL, Google Scholar, Health Systems Evidence, PubMed and Trip. We recruited healthcare policy-makers, managers and health researchers in low-, middle- and high-income countries. Participants selected one of six pre-determined questions. They searched for a systematic review that addressed the chosen question and one question of their own in PDQ-Evidence and in two of the other six databases which they would normally have searched. We randomly allocated participants to search PDQ-Evidence first or to search the two other databases first. The primary outcomes were whether a systematic review was found and the time taken to find it. Secondary outcomes were perceived ease of use and perceived time spent searching. We asked open-ended questions about PDQ-Evidence, including likes, dislikes, challenges and suggestions for improvements. A total of 89 people from 21 countries completed the study; 83 were included in the primary analyses and 6 were excluded because of data errors that could not be corrected. Most participants chose PubMed and Cochrane Library as the other two databases. Participants were more likely to find a systematic review using PDQ-Evidence than using Cochrane Library or PubMed for the pre-defined questions. For their own questions, this difference was not found. Overall, it took slightly less time to find a systematic review using PDQ-Evidence. Participants perceived that it took less time, and most participants perceived PDQ-Evidence to be slightly easier to use than the two other databases. However, there were conflicting views about the design of PDQ-Evidence. PDQ-Evidence is at least as efficient as other databases for finding health system evidence. However, using PDQ-Evidence is not intuitive for some people. The trial was prospectively registered in the ISRCTN registry 17 April 2015. Registration number: ISRCTN12742235 .

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 57 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 16%
Librarian 5 9%
Researcher 5 9%
Student > Doctoral Student 4 7%
Student > Bachelor 3 5%
Other 7 12%
Unknown 24 42%
Readers by discipline Count As %
Nursing and Health Professions 9 16%
Medicine and Dentistry 9 16%
Social Sciences 3 5%
Business, Management and Accounting 1 2%
Agricultural and Biological Sciences 1 2%
Other 8 14%
Unknown 26 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 25. 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 27 April 2018.
All research outputs
#1,358,510
of 23,548,905 outputs
Outputs from Health Research Policy and Systems
#142
of 1,238 outputs
Outputs of similar age
#32,030
of 335,044 outputs
Outputs of similar age from Health Research Policy and Systems
#10
of 32 outputs
Altmetric has tracked 23,548,905 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 1,238 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.0. This one has done well, scoring higher than 88% 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 335,044 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 90% of its contemporaries.
We're also able to compare this research output to 32 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 71% of its contemporaries.