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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Travel-related MERS-CoV cases: an assessment of exposures and risk factors in a group of Dutch travellers returning from the Kingdom of Saudi Arabia, May 2014
|
|---|---|
| Published in |
Emerging Themes in Epidemiology, October 2014
|
| DOI | 10.1186/1742-7622-11-16 |
| Pubmed ID | |
| Authors |
Ewout B Fanoy, Marianne AB van der Sande, Marleen Kraaij-Dirkzwager, Kees Dirksen, Marcel Jonges, Wim van der Hoek, Marion PG Koopmans, Douwe van der Werf, Gerard Sonder, Charlie van der Weijden, Jet van der Heuvel, Luc Gelinck, Jolande W Bouwhuis, Arianne B van Gageldonk-Lafeber |
| Abstract |
In May 2014, Middle East respiratory syndrome coronavirus (MERS-CoV) infection, with closely related viral genomes, was diagnosed in two Dutch residents, returning from a pilgrimage to Medina and Mecca, Kingdom of Saudi Arabia (KSA). These patients travelled with a group of 29 other Dutch travellers. We conducted an epidemiological assessment of the travel group to identify likely source(s) of infection and presence of potential risk factors. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 58 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 33% |
| Student > Ph. D. Student | 5 | 9% |
| Student > Master | 5 | 9% |
| Student > Bachelor | 5 | 9% |
| Lecturer > Senior Lecturer | 3 | 5% |
| Other | 12 | 21% |
| Unknown | 9 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 20 | 34% |
| Agricultural and Biological Sciences | 5 | 9% |
| Veterinary Science and Veterinary Medicine | 5 | 9% |
| Nursing and Health Professions | 4 | 7% |
| Biochemistry, Genetics and Molecular Biology | 4 | 7% |
| Other | 11 | 19% |
| Unknown | 9 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 10 January 2015.
All research outputs
#6,652,421
of 24,226,848 outputs
Outputs from Emerging Themes in Epidemiology
#65
of 152 outputs
Outputs of similar age
#68,702
of 263,285 outputs
Outputs of similar age from Emerging Themes in Epidemiology
#3
of 3 outputs
Altmetric has tracked 24,226,848 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 152 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.0. This one has gotten more attention than average, scoring higher than 56% 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 263,285 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.