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Smartphone learning as an adjunct to vascular teaching – a pilot project

Overview of attention for article published in BMC Medical Education, March 2018
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

Mentioned by

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10 X users
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1 Facebook page

Citations

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14 Dimensions

Readers on

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88 Mendeley
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Title
Smartphone learning as an adjunct to vascular teaching – a pilot project
Published in
BMC Medical Education, March 2018
DOI 10.1186/s12909-018-1148-8
Pubmed ID
Authors

Nadeem A. Mughal, Eleanor R. Atkins, Darren Morrow, Wissam Al-Jundi

Abstract

M-learning is education using personal mobile electronic devices. Given the prevalence of these in society and amongst healthcare professionals, we aimed to assess their use and feasibility in improving the educational programme of a single vascular institution. A weekly vascular departmental teaching programme was initiated with registrars giving 30-min presentations on a defined book chapter. Two multiple-choice questions (MCQ) per session were devised by a supervising consultant utilising the smartphone response system application, Polltogo. A separate investigator disseminated one pre-teaching and one post-teaching MCQ to the attending trainees via a WhatsApp group. Instant feedback of the correct answer was provided by the application. Participants' satisfaction was judged through a survey after 13 sessions. 11 junior doctors of varying seniority participated in the trial. The median number of session attendees was 5. 129 MCQ responses were received. The mobile engagement score (number of answers received divided by total possible answers) was 97.7%. The average correct score for pre-teaching MCQs was 39.4% and post-teaching MCQs 73.0% (p < 0.001). Satisfaction with the concept was high; 80% of responders agreed that it was a useful adjunct to the teaching programme whilst 90% found the system highly user-friendly. Smartphones can be utilised effectively and with high user satisfaction in assessing knowledge transfer throughout a departmental education programme. Trainees' responses to MCQs significantly improved after 30-min teaching sessions. This concept of m-learning could be developed further to assist with postgraduate examination revision or Deanery teaching programmes in larger cohorts.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 88 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 15 17%
Student > Ph. D. Student 8 9%
Student > Doctoral Student 7 8%
Researcher 5 6%
Other 5 6%
Other 20 23%
Unknown 28 32%
Readers by discipline Count As %
Medicine and Dentistry 24 27%
Social Sciences 9 10%
Psychology 6 7%
Computer Science 5 6%
Engineering 3 3%
Other 8 9%
Unknown 33 38%
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 02 April 2018.
All research outputs
#6,219,301
of 23,026,672 outputs
Outputs from BMC Medical Education
#1,025
of 3,370 outputs
Outputs of similar age
#110,777
of 333,788 outputs
Outputs of similar age from BMC Medical Education
#23
of 58 outputs
Altmetric has tracked 23,026,672 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 3,370 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has gotten more attention than average, scoring higher than 69% 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 333,788 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 66% of its contemporaries.
We're also able to compare this research output to 58 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 58% of its contemporaries.