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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Pandemics, public health emergencies and antimicrobial resistance - putting the threat in an epidemiologic and risk analysis context
|
|---|---|
| Published in |
Archives of Public Health, September 2017
|
| DOI | 10.1186/s13690-017-0223-7 |
| Pubmed ID | |
| Authors |
C. Raina MacIntyre, Chau Minh Bui |
| Abstract |
Public health messaging about antimicrobial resistance (AMR) sometimes conveys the problem as an epidemic. We outline why AMR is a serious endemic problem manifested in hospital and community-acquired infections. AMR is not an epidemic condition, but may complicate epidemics, which are characterised by sudden societal impact due to rapid rise in cases over a short timescale. Influenza, which causes direct viral effects, or secondary bacterial complications is the most likely cause of an epidemic or pandemic where AMR may be a problem. We discuss other possible causes of a pandemic with AMR, and present a risk assessment formula to estimate the impact of AMR during a pandemic. Finally, we flag the potential impact of genetic engineering of pathogens on global risk and how this could radically change the epidemiology of AMR as we know it. Understanding the epidemiology of AMR is key to successfully addressing the problem. AMR is an endemic condition but can play a role in epidemics or pandemics, and we present a risk analysis method for assessing the impact of AMR in a pandemic. |
X Demographics
The data shown below were collected from the profiles of 54 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 14 | 26% |
| United Kingdom | 2 | 4% |
| Turkey | 2 | 4% |
| Switzerland | 1 | 2% |
| Greece | 1 | 2% |
| Philippines | 1 | 2% |
| Mexico | 1 | 2% |
| Canada | 1 | 2% |
| United States | 1 | 2% |
| Other | 5 | 9% |
| Unknown | 25 | 46% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 41 | 76% |
| Practitioners (doctors, other healthcare professionals) | 6 | 11% |
| Scientists | 5 | 9% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
| Unknown | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 129 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 129 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 23 | 18% |
| Student > Master | 17 | 13% |
| Researcher | 14 | 11% |
| Student > Ph. D. Student | 13 | 10% |
| Other | 5 | 4% |
| Other | 15 | 12% |
| Unknown | 42 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 20 | 16% |
| Biochemistry, Genetics and Molecular Biology | 18 | 14% |
| Agricultural and Biological Sciences | 12 | 9% |
| Engineering | 6 | 5% |
| Nursing and Health Professions | 4 | 3% |
| Other | 24 | 19% |
| Unknown | 45 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 57. 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 14 April 2024.
All research outputs
#757,177
of 25,711,998 outputs
Outputs from Archives of Public Health
#25
of 1,169 outputs
Outputs of similar age
#15,440
of 324,446 outputs
Outputs of similar age from Archives of Public Health
#1
of 24 outputs
Altmetric has tracked 25,711,998 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,169 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one has done particularly well, scoring higher than 97% 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 324,446 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 95% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.