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.
X Demographics
Mendeley readers
Attention Score in Context
Title |
Big data- and artificial intelligence-based hot-spot analysis of COVID-19: Gauteng, South Africa, as a case study
|
---|---|
Published in |
BMC Medical Informatics and Decision Making, January 2023
|
DOI | 10.1186/s12911-023-02098-3 |
Pubmed ID | |
Authors |
Benjamin Lieberman, Jude Dzevela Kong, Roy Gusinow, Ali Asgary, Nicola Luigi Bragazzi, Joshua Choma, Salah-Eddine Dahbi, Kentaro Hayashi, Deepak Kar, Mary Kawonga, Mduduzi Mbada, Kgomotso Monnakgotla, James Orbinski, Xifeng Ruan, Finn Stevenson, Jianhong Wu, Bruce Mellado |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 23 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 3 | 13% |
Librarian | 2 | 9% |
Student > Ph. D. Student | 2 | 9% |
Lecturer | 1 | 4% |
Student > Bachelor | 1 | 4% |
Other | 2 | 9% |
Unknown | 12 | 52% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 5 | 22% |
Social Sciences | 1 | 4% |
Medicine and Dentistry | 1 | 4% |
Engineering | 1 | 4% |
Unknown | 15 | 65% |
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 January 2023.
All research outputs
#16,393,092
of 24,150,351 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,375
of 2,064 outputs
Outputs of similar age
#245,427
of 438,102 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#27
of 45 outputs
Altmetric has tracked 24,150,351 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 2,064 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 24th percentile – i.e., 24% 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 438,102 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 45 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.