| Title |
A Mental Models Approach to Assessing Public Understanding of Zika Virus, Guatemala - Volume 24, Number 5—May 2018 - Emerging Infectious Diseases journal - CDC
|
|---|---|
| Published in |
Emerging Infectious Diseases, May 2018
|
| DOI | 10.3201/eid2405.171570 |
| Pubmed ID | |
| Authors |
Brian G. Southwell, Sarah E. Ray, Natasha N. Vazquez, Tere Ligorria, Bridget J. Kelly |
| Abstract |
Mental models are cognitive representations of phenomena that can constrain efforts to reduce infectious disease. In a study of Zika virus awareness in Guatemala, many participants referred to experiences with other mosquitoborne diseases during discussions of Zika virus. These results highlight the importance of past experiences for Zika virus understanding. |
X Demographics
The data shown below were collected from the profiles of 7 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 | 3 | 43% |
| Indonesia | 1 | 14% |
| Japan | 1 | 14% |
| Chile | 1 | 14% |
| Switzerland | 1 | 14% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 86% |
| Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 32 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 25% |
| Student > Master | 6 | 19% |
| Student > Doctoral Student | 3 | 9% |
| Student > Bachelor | 2 | 6% |
| Professor | 2 | 6% |
| Other | 4 | 13% |
| Unknown | 7 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 8 | 25% |
| Medicine and Dentistry | 4 | 13% |
| Environmental Science | 2 | 6% |
| Arts and Humanities | 2 | 6% |
| Unspecified | 1 | 3% |
| Other | 5 | 16% |
| Unknown | 10 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 21 September 2020.
All research outputs
#6,346,987
of 24,775,802 outputs
Outputs from Emerging Infectious Diseases
#4,802
of 9,581 outputs
Outputs of similar age
#101,710
of 331,624 outputs
Outputs of similar age from Emerging Infectious Diseases
#59
of 116 outputs
Altmetric has tracked 24,775,802 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 9,581 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 45.5. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
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 331,624 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 69% of its contemporaries.
We're also able to compare this research output to 116 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 50% of its contemporaries.