| Title |
A probabilistic approach to mining mobile phone data sequences
|
|---|---|
| Published in |
Personal and Ubiquitous Computing, February 2013
|
| DOI | 10.1007/s00779-013-0640-8 |
| Authors |
Katayoun Farrahi, Daniel Gatica-Perez |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 2 | 3% |
| United Kingdom | 1 | 2% |
| United States | 1 | 2% |
| Brazil | 1 | 2% |
| Unknown | 59 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 23 | 36% |
| Researcher | 18 | 28% |
| Student > Master | 7 | 11% |
| Student > Bachelor | 4 | 6% |
| Other | 3 | 5% |
| Other | 5 | 8% |
| Unknown | 4 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 36 | 56% |
| Engineering | 9 | 14% |
| Social Sciences | 3 | 5% |
| Arts and Humanities | 2 | 3% |
| Business, Management and Accounting | 1 | 2% |
| Other | 4 | 6% |
| Unknown | 9 | 14% |
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 20 January 2014.
All research outputs
#15,289,831
of 22,738,543 outputs
Outputs from Personal and Ubiquitous Computing
#513
of 1,189 outputs
Outputs of similar age
#121,386
of 193,008 outputs
Outputs of similar age from Personal and Ubiquitous Computing
#8
of 13 outputs
Altmetric has tracked 22,738,543 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 1,189 research outputs from this source. They receive a mean Attention Score of 2.5. This one has gotten more attention than average, scoring higher than 50% 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 193,008 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.