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Predictors of outpatients’ no-show: big data analytics using apache spark

Overview of attention for article published in Journal of Big Data, December 2020
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

Mentioned by

twitter
2 X users

Citations

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18 Dimensions

Readers on

mendeley
65 Mendeley
Title
Predictors of outpatients’ no-show: big data analytics using apache spark
Published in
Journal of Big Data, December 2020
DOI 10.1186/s40537-020-00384-9
Authors

Tahani Daghistani, Huda AlGhamdi, Riyad Alshammari, Raed H. AlHazme

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 65 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 9%
Student > Master 5 8%
Lecturer 4 6%
Student > Bachelor 4 6%
Other 2 3%
Other 7 11%
Unknown 37 57%
Readers by discipline Count As %
Computer Science 10 15%
Medicine and Dentistry 3 5%
Engineering 3 5%
Agricultural and Biological Sciences 2 3%
Unspecified 2 3%
Other 8 12%
Unknown 37 57%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 07 May 2022.
All research outputs
#14,527,988
of 23,267,128 outputs
Outputs from Journal of Big Data
#185
of 350 outputs
Outputs of similar age
#271,120
of 508,421 outputs
Outputs of similar age from Journal of Big Data
#7
of 18 outputs
Altmetric has tracked 23,267,128 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 350 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one is in the 43rd percentile – i.e., 43% of its peers scored the same or lower than it.
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 508,421 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 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 55% of its contemporaries.