| Title |
A comparison of spatial-based targeted disease mitigation strategies using mobile phone data
|
|---|---|
| Published in |
EPJ Data Science, June 2018
|
| DOI | 10.1140/epjds/s13688-018-0145-9 |
| Authors |
Stefania Rubrichi, Zbigniew Smoreda, Mirco Musolesi |
X Demographics
The data shown below were collected from the profiles of 28 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 Kingdom | 6 | 21% |
| United States | 3 | 11% |
| Argentina | 2 | 7% |
| Comoros | 1 | 4% |
| Canada | 1 | 4% |
| Italy | 1 | 4% |
| Kenya | 1 | 4% |
| Unknown | 13 | 46% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 16 | 57% |
| Scientists | 10 | 36% |
| Science communicators (journalists, bloggers, editors) | 2 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 48 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 31% |
| Student > Master | 7 | 15% |
| Researcher | 6 | 13% |
| Student > Bachelor | 4 | 8% |
| Professor | 2 | 4% |
| Other | 3 | 6% |
| Unknown | 11 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 6 | 13% |
| Engineering | 5 | 10% |
| Social Sciences | 4 | 8% |
| Physics and Astronomy | 4 | 8% |
| Business, Management and Accounting | 3 | 6% |
| Other | 9 | 19% |
| Unknown | 17 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 37. 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 24 March 2021.
All research outputs
#1,118,725
of 25,714,183 outputs
Outputs from EPJ Data Science
#93
of 456 outputs
Outputs of similar age
#23,730
of 342,536 outputs
Outputs of similar age from EPJ Data Science
#2
of 16 outputs
Altmetric has tracked 25,714,183 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 456 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.8. This one has done well, scoring higher than 79% 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 342,536 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 93% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.