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BDCaM: Big Data for Context-Aware MonitoringA Personalized Knowledge Discovery Framework for Assisted Healthcare

Overview of attention for article published in IEEE Transactions on Cloud Computing, June 2015
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  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 X user

Citations

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98 Dimensions

Readers on

mendeley
115 Mendeley
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Title
BDCaM: Big Data for Context-Aware MonitoringA Personalized Knowledge Discovery Framework for Assisted Healthcare
Published in
IEEE Transactions on Cloud Computing, June 2015
DOI 10.1109/tcc.2015.2440269
Authors

Abdur Rahim Mohammad Forkan, Ibrahim Khalil, Ayman Ibaida, Zahir Tari

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 <1%
Unknown 114 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 27%
Student > Master 21 18%
Student > Doctoral Student 9 8%
Researcher 8 7%
Lecturer 7 6%
Other 20 17%
Unknown 19 17%
Readers by discipline Count As %
Computer Science 59 51%
Engineering 12 10%
Business, Management and Accounting 3 3%
Agricultural and Biological Sciences 3 3%
Medicine and Dentistry 2 2%
Other 7 6%
Unknown 29 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 27 September 2015.
All research outputs
#17,289,387
of 25,377,790 outputs
Outputs from IEEE Transactions on Cloud Computing
#105
of 173 outputs
Outputs of similar age
#168,493
of 281,101 outputs
Outputs of similar age from IEEE Transactions on Cloud Computing
#4
of 8 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 173 research outputs from this source. They receive a mean Attention Score of 2.7. This one is in the 20th percentile – i.e., 20% 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 281,101 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.