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Implementation of machine learning algorithms to create diabetic patient re-admission profiles

Overview of attention for article published in BMC Medical Informatics and Decision Making, December 2019
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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 (86th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

twitter
26 X users

Citations

dimensions_citation
35 Dimensions

Readers on

mendeley
116 Mendeley
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Title
Implementation of machine learning algorithms to create diabetic patient re-admission profiles
Published in
BMC Medical Informatics and Decision Making, December 2019
DOI 10.1186/s12911-019-0990-x
Pubmed ID
Authors

Mohamed Alloghani, Ahmed Aljaaf, Abir Hussain, Thar Baker, Jamila Mustafina, Dhiya Al-Jumeily, Mohammed Khalaf

X Demographics

X Demographics

The data shown below were collected from the profiles of 26 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 116 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 116 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 9%
Student > Doctoral Student 9 8%
Researcher 8 7%
Student > Bachelor 7 6%
Professor 6 5%
Other 14 12%
Unknown 61 53%
Readers by discipline Count As %
Computer Science 20 17%
Medicine and Dentistry 13 11%
Nursing and Health Professions 3 3%
Pharmacology, Toxicology and Pharmaceutical Science 3 3%
Chemistry 2 2%
Other 10 9%
Unknown 65 56%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 11 June 2020.
All research outputs
#2,691,087
of 24,290,096 outputs
Outputs from BMC Medical Informatics and Decision Making
#196
of 2,072 outputs
Outputs of similar age
#63,908
of 467,003 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#8
of 69 outputs
Altmetric has tracked 24,290,096 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,072 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 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 467,003 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 86% of its contemporaries.
We're also able to compare this research output to 69 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.