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A mixed methods systematic review of the effects of patient online self-diagnosing in the ‘smart-phone society’ on the healthcare professional-patient relationship and medical authority

Overview of attention for article published in BMC Medical Informatics and Decision Making, October 2020
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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 (89th percentile)

Mentioned by

twitter
34 tweeters

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
106 Mendeley
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Title
A mixed methods systematic review of the effects of patient online self-diagnosing in the ‘smart-phone society’ on the healthcare professional-patient relationship and medical authority
Published in
BMC Medical Informatics and Decision Making, October 2020
DOI 10.1186/s12911-020-01243-6
Pubmed ID
Authors

Annabel Farnood, Bridget Johnston, Frances S. Mair

Twitter Demographics

The data shown below were collected from the profiles of 34 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 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 106 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 17 16%
Student > Ph. D. Student 7 7%
Researcher 7 7%
Student > Doctoral Student 6 6%
Student > Master 6 6%
Other 11 10%
Unknown 52 49%
Readers by discipline Count As %
Computer Science 11 10%
Medicine and Dentistry 9 8%
Social Sciences 7 7%
Nursing and Health Professions 5 5%
Business, Management and Accounting 4 4%
Other 18 17%
Unknown 52 49%

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 10 August 2021.
All research outputs
#1,244,056
of 20,225,181 outputs
Outputs from BMC Medical Informatics and Decision Making
#62
of 1,779 outputs
Outputs of similar age
#35,150
of 327,922 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#1
of 3 outputs
Altmetric has tracked 20,225,181 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,779 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done particularly well, scoring higher than 96% 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 327,922 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 89% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them