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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Using Machine Learning Models to Forecast Severity Level of Traffic Crashes by R Studio and ArcGIS
|
|---|---|
| Published in |
Frontiers in Built Environment, April 2022
|
| DOI | 10.3389/fbuil.2022.860805 |
| Authors |
Bara’ W. Al-Mistarehi, Ahmad H. Alomari, Rana Imam, Mohammad Mashaqba |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 74 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 12% |
| Student > Master | 6 | 8% |
| Researcher | 5 | 7% |
| Student > Bachelor | 5 | 7% |
| Student > Doctoral Student | 4 | 5% |
| Other | 10 | 14% |
| Unknown | 35 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 17 | 23% |
| Computer Science | 5 | 7% |
| Unspecified | 3 | 4% |
| Earth and Planetary Sciences | 3 | 4% |
| Environmental Science | 2 | 3% |
| Other | 7 | 9% |
| Unknown | 37 | 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 30 April 2022.
All research outputs
#14,492,558
of 23,312,088 outputs
Outputs from Frontiers in Built Environment
#232
of 1,100 outputs
Outputs of similar age
#212,231
of 441,801 outputs
Outputs of similar age from Frontiers in Built Environment
#15
of 66 outputs
Altmetric has tracked 23,312,088 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,100 research outputs from this source. They receive a mean Attention Score of 2.9. This one has done well, scoring higher than 77% 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 441,801 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 66 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 74% of its contemporaries.