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X Demographics
Mendeley readers
Attention Score in Context
Title |
Prediction Model of Deep Learning for Ambulance Transports in Kesennuma City by Meteorological Data
|
---|---|
Published in |
Open access emergency medicine OAEM, January 2021
|
DOI | 10.2147/oaem.s293551 |
Pubmed ID | |
Authors |
Ohmi Watanabe, Norio Narita, Masahito Katsuki, Naoya Ishida, Siqi Cai, Hiroshi Otomo, Kenichi Yokota |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 1 | 33% |
United Kingdom | 1 | 33% |
United States | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 67% |
Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 16 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 4 | 25% |
Student > Ph. D. Student | 1 | 6% |
Unspecified | 1 | 6% |
Professor > Associate Professor | 1 | 6% |
Lecturer | 1 | 6% |
Other | 0 | 0% |
Unknown | 8 | 50% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 5 | 31% |
Unspecified | 1 | 6% |
Neuroscience | 1 | 6% |
Computer Science | 1 | 6% |
Unknown | 8 | 50% |
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 08 August 2021.
All research outputs
#16,219,733
of 25,628,260 outputs
Outputs from Open access emergency medicine OAEM
#133
of 229 outputs
Outputs of similar age
#294,724
of 525,925 outputs
Outputs of similar age from Open access emergency medicine OAEM
#6
of 8 outputs
Altmetric has tracked 25,628,260 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 229 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one is in the 37th percentile – i.e., 37% 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 525,925 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% 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 2 of them.