| Title |
Urban computing: enabling urban intelligence with big data
|
|---|---|
| Published in |
Frontiers of Computer Science, April 2017
|
| DOI | 10.1007/s11704-016-6907-2 |
| Authors |
Yu Zheng |
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 % |
|---|---|---|
| China | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 3% |
| Brazil | 1 | 3% |
| Unknown | 33 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 29% |
| Student > Master | 6 | 17% |
| Student > Doctoral Student | 5 | 14% |
| Student > Bachelor | 2 | 6% |
| Professor | 2 | 6% |
| Other | 3 | 9% |
| Unknown | 7 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 16 | 46% |
| Engineering | 3 | 9% |
| Social Sciences | 3 | 9% |
| Earth and Planetary Sciences | 2 | 6% |
| Economics, Econometrics and Finance | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 7 | 20% |
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 28 December 2017.
All research outputs
#15,481,888
of 23,006,268 outputs
Outputs from Frontiers of Computer Science
#52
of 465 outputs
Outputs of similar age
#194,495
of 309,977 outputs
Outputs of similar age from Frontiers of Computer Science
#6
of 10 outputs
Altmetric has tracked 23,006,268 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 465 research outputs from this source. They receive a mean Attention Score of 1.4. This one has gotten more attention than average, scoring higher than 60% 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 309,977 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
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 4 of them.