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Simulation via instant messaging-Birmingham advance (SIMBA) model helped improve clinicians’ confidence to manage cases in diabetes and endocrinology

Overview of attention for article published in BMC Medical Education, August 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 (85th percentile)

Mentioned by

twitter
20 tweeters

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
19 Mendeley
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Title
Simulation via instant messaging-Birmingham advance (SIMBA) model helped improve clinicians’ confidence to manage cases in diabetes and endocrinology
Published in
BMC Medical Education, August 2020
DOI 10.1186/s12909-020-02190-6
Authors

Eka Melson, Meri Davitadze, Manal Aftab, Cai Ying Ng, Emma Ooi, Parisha Blaggan, Wentin Chen, Thia Hanania, Lucretia Thomas, Dengyi Zhou, Joht Singh Chandan, Latha Senthil, Wiebke Arlt, Sailesh Sankar, John Ayuk, Muhammad Ali Karamat, Punith Kempegowda

Twitter Demographics

The data shown below were collected from the profiles of 20 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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 16%
Other 2 11%
Student > Ph. D. Student 2 11%
Student > Doctoral Student 1 5%
Student > Master 1 5%
Other 2 11%
Unknown 8 42%
Readers by discipline Count As %
Medicine and Dentistry 8 42%
Nursing and Health Professions 1 5%
Unknown 10 53%

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 August 2020.
All research outputs
#1,381,173
of 16,276,344 outputs
Outputs from BMC Medical Education
#221
of 2,313 outputs
Outputs of similar age
#42,353
of 303,005 outputs
Outputs of similar age from BMC Medical Education
#1
of 1 outputs
Altmetric has tracked 16,276,344 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,313 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.6. This one has done particularly well, scoring higher than 90% 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 303,005 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 85% of its contemporaries.
We're also able to compare this research output to 1 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