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 |
Detecting and understanding urban changes through decomposing the numbers of visitors’ arrivals using human mobility data
|
|---|---|
| Published in |
Journal of Big Data, January 2019
|
| DOI | 10.1186/s40537-019-0168-5 |
| Authors |
Takashi Nicholas Maeda, Narushige Shiode, Chen Zhong, Junichiro Mori, Tetsuo Sakimoto |
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 % |
|---|---|---|
| United Kingdom | 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 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 42 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 11 | 26% |
| Student > Ph. D. Student | 6 | 14% |
| Professor > Associate Professor | 3 | 7% |
| Researcher | 3 | 7% |
| Student > Doctoral Student | 2 | 5% |
| Other | 6 | 14% |
| Unknown | 11 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 12% |
| Environmental Science | 5 | 12% |
| Engineering | 5 | 12% |
| Mathematics | 2 | 5% |
| Social Sciences | 2 | 5% |
| Other | 10 | 24% |
| Unknown | 13 | 31% |
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 10 February 2019.
All research outputs
#18,663,380
of 23,122,481 outputs
Outputs from Journal of Big Data
#264
of 345 outputs
Outputs of similar age
#325,228
of 438,310 outputs
Outputs of similar age from Journal of Big Data
#19
of 21 outputs
Altmetric has tracked 23,122,481 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 345 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.3. This one is in the 5th percentile – i.e., 5% 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 438,310 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.