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Medication effectiveness may not be the major reason for accepting cardiovascular preventive medication: A population-based survey

Overview of attention for article published in BMC Medical Informatics and Decision Making, August 2012
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  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

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8 X users
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1 Facebook page

Citations

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12 Dimensions

Readers on

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55 Mendeley
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Title
Medication effectiveness may not be the major reason for accepting cardiovascular preventive medication: A population-based survey
Published in
BMC Medical Informatics and Decision Making, August 2012
DOI 10.1186/1472-6947-12-89
Pubmed ID
Authors

Charlotte Gry Harmsen, Henrik Støvring, Dorte Ejg Jarbøl, Jørgen Nexøe, Dorte Gyrd-Hansen, Jesper Bo Nielsen, Adrian Edwards, Ivar Sønbø Kristiansen

Abstract

Shared decision-making and patients' choice of interventions are areas of increasing importance, not least seen in the light of the fact that chronic conditions are increasing, interventions considered important for public health, and still non-acceptance of especially risk-reducing treatments of cardiovascular diseases (CVD) is prevalent. A better understanding of patients' medication-taking behavior is needed and may be reached by studying the reasons why people accept or decline medication recommendations. The aim of this paper was to identify factors that may influence people's decisions and reasoning for accepting or declining a cardiovascular preventive medication offer.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 55 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 18%
Researcher 9 16%
Student > Bachelor 7 13%
Student > Master 6 11%
Other 4 7%
Other 10 18%
Unknown 9 16%
Readers by discipline Count As %
Medicine and Dentistry 15 27%
Psychology 8 15%
Nursing and Health Professions 7 13%
Social Sciences 5 9%
Computer Science 2 4%
Other 6 11%
Unknown 12 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 17 December 2012.
All research outputs
#5,958,631
of 22,673,450 outputs
Outputs from BMC Medical Informatics and Decision Making
#529
of 1,978 outputs
Outputs of similar age
#42,396
of 166,798 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#19
of 51 outputs
Altmetric has tracked 22,673,450 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 1,978 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 73% 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 166,798 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 51 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 62% of its contemporaries.