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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Predicting human mobility through the assimilation of social media traces into mobility models
|
|---|---|
| Published in |
EPJ Data Science, October 2016
|
| DOI | 10.1140/epjds/s13688-016-0092-2 |
| Authors |
Mariano G Beiró, André Panisson, Michele Tizzoni, Ciro Cattuto |
X Demographics
The data shown below were collected from the profiles of 53 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 10 | 19% |
| Italy | 7 | 13% |
| United Kingdom | 3 | 6% |
| Germany | 3 | 6% |
| France | 2 | 4% |
| Spain | 2 | 4% |
| Greece | 1 | 2% |
| Finland | 1 | 2% |
| Colombia | 1 | 2% |
| Other | 7 | 13% |
| Unknown | 16 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 27 | 51% |
| Members of the public | 24 | 45% |
| Science communicators (journalists, bloggers, editors) | 2 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 3% |
| Italy | 2 | 2% |
| Malaysia | 1 | <1% |
| United Kingdom | 1 | <1% |
| Unknown | 112 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 32 | 27% |
| Researcher | 16 | 13% |
| Student > Master | 14 | 12% |
| Professor | 8 | 7% |
| Student > Doctoral Student | 7 | 6% |
| Other | 19 | 16% |
| Unknown | 23 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 27 | 23% |
| Engineering | 11 | 9% |
| Social Sciences | 9 | 8% |
| Physics and Astronomy | 9 | 8% |
| Earth and Planetary Sciences | 6 | 5% |
| Other | 26 | 22% |
| Unknown | 31 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 83. 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 01 February 2022.
All research outputs
#526,446
of 25,824,818 outputs
Outputs from EPJ Data Science
#33
of 460 outputs
Outputs of similar age
#10,042
of 325,071 outputs
Outputs of similar age from EPJ Data Science
#2
of 5 outputs
Altmetric has tracked 25,824,818 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 460 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 36.8. This one has done particularly well, scoring higher than 92% 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 325,071 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 5 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.