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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Using GPS Technology to Quantify Human Mobility, Dynamic Contacts and Infectious Disease Dynamics in a Resource-Poor Urban Environment
|
|---|---|
| Published in |
PLOS ONE, April 2013
|
| DOI | 10.1371/journal.pone.0058802 |
| Pubmed ID | |
| Authors |
Gonzalo M. Vazquez-Prokopec, Donal Bisanzio, Steven T. Stoddard, Valerie Paz-Soldan, Amy C. Morrison, John P. Elder, Jhon Ramirez-Paredes, Eric S. Halsey, Tadeusz J. Kochel, Thomas W. Scott, Uriel Kitron |
X Demographics
The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Peru | 1 | 8% |
| United Kingdom | 1 | 8% |
| Kenya | 1 | 8% |
| Japan | 1 | 8% |
| United States | 1 | 8% |
| Unknown | 8 | 62% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 62% |
| Scientists | 5 | 38% |
Mendeley readers
The data shown below were compiled from readership statistics for 321 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 9 | 3% |
| Switzerland | 2 | <1% |
| France | 1 | <1% |
| Brazil | 1 | <1% |
| Italy | 1 | <1% |
| Sri Lanka | 1 | <1% |
| United Kingdom | 1 | <1% |
| Unknown | 305 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 65 | 20% |
| Student > Ph. D. Student | 61 | 19% |
| Student > Master | 49 | 15% |
| Student > Bachelor | 26 | 8% |
| Professor | 16 | 5% |
| Other | 54 | 17% |
| Unknown | 50 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 38 | 12% |
| Agricultural and Biological Sciences | 35 | 11% |
| Computer Science | 33 | 10% |
| Social Sciences | 30 | 9% |
| Engineering | 26 | 8% |
| Other | 93 | 29% |
| Unknown | 66 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 21. 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 19 August 2020.
All research outputs
#1,808,543
of 25,837,817 outputs
Outputs from PLOS ONE
#22,011
of 224,660 outputs
Outputs of similar age
#14,286
of 214,168 outputs
Outputs of similar age from PLOS ONE
#477
of 5,308 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 224,660 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.8. This one has done particularly well, scoring higher than 90% 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 214,168 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 5,308 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.