| Title |
A new approach to the space–time analysis of big data: application to subway traffic data in Seoul
|
|---|---|
| Published in |
Journal of Big Data, February 2018
|
| DOI | 10.1186/s40537-018-0116-9 |
| Authors |
Kwang-Yul Kim, Chae-Young Lim, Eunice J. Kim |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Korea, Republic of | 2 | 22% |
| Japan | 1 | 11% |
| Brazil | 1 | 11% |
| Italy | 1 | 11% |
| Unknown | 4 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 78% |
| Scientists | 2 | 22% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 36 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 22% |
| Researcher | 6 | 17% |
| Student > Ph. D. Student | 6 | 17% |
| Student > Doctoral Student | 2 | 6% |
| Professor | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 11 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 7 | 19% |
| Engineering | 4 | 11% |
| Social Sciences | 2 | 6% |
| Earth and Planetary Sciences | 2 | 6% |
| Agricultural and Biological Sciences | 1 | 3% |
| Other | 8 | 22% |
| Unknown | 12 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 May 2018.
All research outputs
#6,065,831
of 24,937,289 outputs
Outputs from Journal of Big Data
#104
of 378 outputs
Outputs of similar age
#113,381
of 448,715 outputs
Outputs of similar age from Journal of Big Data
#7
of 10 outputs
Altmetric has tracked 24,937,289 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 378 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. This one has gotten more attention than average, scoring higher than 72% 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 448,715 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 74% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.