| Title |
Inferences about spatiotemporal variation in dengue virus transmission are sensitive to assumptions about human mobility: a case study using geolocated tweets from Lahore, Pakistan
|
|---|---|
| Published in |
EPJ Data Science, June 2018
|
| DOI | 10.1140/epjds/s13688-018-0144-x |
| Pubmed ID | |
| Authors |
Moritz U. G. Kraemer, D. Bisanzio, R. C. Reiner, R. Zakar, J. B. Hawkins, C. C. Freifeld, D. L. Smith, S. I. Hay, J. S. Brownstein, T. Alex Perkins |
X Demographics
The data shown below were collected from the profiles of 37 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 | 4 | 11% |
| United Kingdom | 4 | 11% |
| Spain | 2 | 5% |
| Switzerland | 2 | 5% |
| Mexico | 1 | 3% |
| Norway | 1 | 3% |
| Sweden | 1 | 3% |
| Canada | 1 | 3% |
| Ireland | 1 | 3% |
| Other | 2 | 5% |
| Unknown | 18 | 49% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 16 | 43% |
| Scientists | 16 | 43% |
| Science communicators (journalists, bloggers, editors) | 3 | 8% |
| Practitioners (doctors, other healthcare professionals) | 2 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 108 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 15 | 14% |
| Student > Ph. D. Student | 14 | 13% |
| Researcher | 11 | 10% |
| Student > Doctoral Student | 10 | 9% |
| Student > Bachelor | 8 | 7% |
| Other | 22 | 20% |
| Unknown | 28 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 14 | 13% |
| Social Sciences | 10 | 9% |
| Agricultural and Biological Sciences | 10 | 9% |
| Engineering | 7 | 6% |
| Medicine and Dentistry | 5 | 5% |
| Other | 28 | 26% |
| Unknown | 34 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 31. 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 06 November 2018.
All research outputs
#1,286,975
of 26,017,215 outputs
Outputs from EPJ Data Science
#107
of 455 outputs
Outputs of similar age
#27,066
of 344,307 outputs
Outputs of similar age from EPJ Data Science
#4
of 16 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 455 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 76% 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 344,307 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 92% 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 75% of its contemporaries.