↓ Skip to main content

Digital Twin–Based Health Care Facilities Management

Overview of attention for article published in Journal of Computing in Civil Engineering, November 2022
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#4 of 150)
  • High Attention Score compared to outputs of the same age (81st percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

news
1 news outlet

Readers on

mendeley
61 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Digital Twin–Based Health Care Facilities Management
Published in
Journal of Computing in Civil Engineering, November 2022
DOI 10.1061/jccee5.cpeng-4842
Authors

Obinna C. Madubuike, Chimay J. Anumba

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 61 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 26%
Student > Master 5 8%
Lecturer 4 7%
Other 2 3%
Student > Postgraduate 2 3%
Other 4 7%
Unknown 28 46%
Readers by discipline Count As %
Engineering 21 34%
Computer Science 3 5%
Business, Management and Accounting 3 5%
Nursing and Health Professions 1 2%
Agricultural and Biological Sciences 1 2%
Other 5 8%
Unknown 27 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 17 February 2023.
All research outputs
#4,374,136
of 25,392,582 outputs
Outputs from Journal of Computing in Civil Engineering
#4
of 150 outputs
Outputs of similar age
#91,283
of 487,365 outputs
Outputs of similar age from Journal of Computing in Civil Engineering
#1
of 5 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 150 research outputs from this source. They receive a mean Attention Score of 2.8. 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 487,365 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 81% of its contemporaries.
We're also able to compare this research output to 5 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