| Title |
Using Big Data to Monitor the Introduction and Spread of Chikungunya, Europe, 2017 - Volume 25, Number 6—June 2019 - Emerging Infectious Diseases journal - CDC
|
|---|---|
| Published in |
Emerging Infectious Diseases, June 2019
|
| DOI | 10.3201/eid2506.180138 |
| Pubmed ID | |
| Authors |
Joacim Rocklöv, Yesim Tozan, Aditya Ramadona, Maquines O. Sewe, Bertrand Sudre, Jon Garrido, Chiara Bellegarde de Saint Lary, Wolfgang Lohr, Jan C. Semenza |
X Demographics
The data shown below were collected from the profiles of 16 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 | 7 | 44% |
| Canada | 1 | 6% |
| Spain | 1 | 6% |
| Unknown | 7 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 75% |
| Practitioners (doctors, other healthcare professionals) | 2 | 13% |
| Scientists | 1 | 6% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 135 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 135 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 27 | 20% |
| Student > Ph. D. Student | 20 | 15% |
| Student > Master | 9 | 7% |
| Student > Doctoral Student | 9 | 7% |
| Student > Postgraduate | 7 | 5% |
| Other | 28 | 21% |
| Unknown | 35 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 16 | 12% |
| Biochemistry, Genetics and Molecular Biology | 10 | 7% |
| Medicine and Dentistry | 10 | 7% |
| Computer Science | 9 | 7% |
| Business, Management and Accounting | 7 | 5% |
| Other | 41 | 30% |
| Unknown | 42 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 28 September 2021.
All research outputs
#2,299,045
of 25,837,817 outputs
Outputs from Emerging Infectious Diseases
#2,436
of 9,808 outputs
Outputs of similar age
#47,774
of 366,622 outputs
Outputs of similar age from Emerging Infectious Diseases
#32
of 122 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 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,808 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 46.2. This one has gotten more attention than average, scoring higher than 74% 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 366,622 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 122 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.