↓ Skip to main content

A data mining framework to analyze road accident data

Overview of attention for article published in Journal of Big Data, November 2015
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
113 Dimensions

Readers on

mendeley
246 Mendeley
Title
A data mining framework to analyze road accident data
Published in
Journal of Big Data, November 2015
DOI 10.1186/s40537-015-0035-y
Authors

Sachin Kumar, Durga Toshniwal

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 246 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 <1%
Unknown 245 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 51 21%
Student > Ph. D. Student 34 14%
Student > Bachelor 23 9%
Lecturer 14 6%
Researcher 13 5%
Other 36 15%
Unknown 75 30%
Readers by discipline Count As %
Computer Science 62 25%
Engineering 58 24%
Environmental Science 7 3%
Business, Management and Accounting 6 2%
Mathematics 5 2%
Other 24 10%
Unknown 84 34%
Attention Score in Context

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 19 November 2016.
All research outputs
#13,662,605
of 23,577,761 outputs
Outputs from Journal of Big Data
#162
of 356 outputs
Outputs of similar age
#185,362
of 390,035 outputs
Outputs of similar age from Journal of Big Data
#3
of 4 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 356 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.6. This one has gotten more attention than average, scoring higher than 53% 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 390,035 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 4 others from the same source and published within six weeks on either side of this one.