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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Adherence to anti-vectorial prevention measures among travellers with chikungunya and malaria returning to Australia: comparative epidemiology
|
|---|---|
| Published in |
BMC Research Notes, August 2018
|
| DOI | 10.1186/s13104-018-3695-9 |
| Pubmed ID | |
| Authors |
Dillon Charles Adam, Chau Minh Bui, Anita Elizabeth Heywood, Mohana Kunasekaran, Mohamud Sheikh, Padmanesan Narasimhan, Chandini Raina MacIntyre |
| Abstract |
Compare the adoption and adherence to health protection behaviours prior to and during travel among international Australian travellers who return to Australia with notified chikungunya or malaria infection. This information could inform targeted health promotion and intervention strategies to limit the establishment of these diseases within Australia. Seeking travel advice prior to departure was moderate (46%, N = 21/46) yet compliance with a range of recommended anti-vectorial prevention measures was low among both chikungunya and malaria infected groups (16%, N = 7/45). Reasons for not seeking advice between groups was similar and included 'previous overseas travel with no problems' (45%, N = 9/20) and 'no perceived risk of disease' (20%, N = 4/20). Most chikungunya cases (65%, N = 13/20) travelled to Indonesia and a further 25% (N = 5/20) visited India, however most malaria cases (62%, N = 16/26) travelled to continental Africa with only 12% (N = 3/26) travelling to India. The majority (50%, N = 10/20) of chikungunya cases reported 'holiday' as their primary purpose of travel, compared to malaria cases who most frequently reported travel to visit friends and family (VFR; 42%, N = 11/26). These results provide import data that may be used to support distinct public health promotion and intervention strategies of two important vector-borne infectious diseases of concern for Australia. |
X Demographics
The data shown below were collected from the profiles of 3 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 | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 49 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 12% |
| Student > Bachelor | 5 | 10% |
| Researcher | 5 | 10% |
| Other | 4 | 8% |
| Unspecified | 4 | 8% |
| Other | 8 | 16% |
| Unknown | 17 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 18% |
| Nursing and Health Professions | 5 | 10% |
| Unspecified | 4 | 8% |
| Agricultural and Biological Sciences | 3 | 6% |
| Arts and Humanities | 2 | 4% |
| Other | 6 | 12% |
| Unknown | 20 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 17 August 2018.
All research outputs
#15,016,514
of 23,100,534 outputs
Outputs from BMC Research Notes
#2,148
of 4,287 outputs
Outputs of similar age
#198,637
of 331,095 outputs
Outputs of similar age from BMC Research Notes
#61
of 139 outputs
Altmetric has tracked 23,100,534 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,287 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one is in the 45th percentile – i.e., 45% 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 331,095 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 139 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.