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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Prospective hospital-based case–control study to assess the effectiveness of pandemic influenza A(H1N1)pdm09 vaccination and risk factors for hospitalization in 2009–2010 using matched hospital and test-negative controls
|
|---|---|
| Published in |
BMC Infectious Diseases, May 2012
|
| DOI | 10.1186/1471-2334-12-127 |
| Pubmed ID | |
| Authors |
Wiebke Hellenbrand, Pernille Jorgensen, Brunhilde Schweiger, Gerhard Falkenhorst, Matthias Nachtnebel, Benedikt Greutélaers, Christian Traeder, Ole Wichmann |
| Abstract |
We performed a case-control study to estimate vaccine effectiveness (VE) for prevention of hospitalization due to pandemic influenza A(H1N1)pdm09 (pH1N1) and to identify risk factors for pH1N1 and acute respiratory infection (ARI) in 10 hospitals in Berlin from December 2009 to April 2010. |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Norway | 2 | 33% |
| Unknown | 4 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
| Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Iran, Islamic Republic of | 1 | 1% |
| India | 1 | 1% |
| Australia | 1 | 1% |
| Unknown | 66 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 18 | 26% |
| Student > Ph. D. Student | 12 | 17% |
| Student > Master | 10 | 14% |
| Student > Bachelor | 6 | 9% |
| Other | 3 | 4% |
| Other | 10 | 14% |
| Unknown | 10 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 27 | 39% |
| Agricultural and Biological Sciences | 7 | 10% |
| Nursing and Health Professions | 5 | 7% |
| Social Sciences | 4 | 6% |
| Biochemistry, Genetics and Molecular Biology | 2 | 3% |
| Other | 10 | 14% |
| Unknown | 14 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. 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 12 December 2014.
All research outputs
#1,759,127
of 24,496,759 outputs
Outputs from BMC Infectious Diseases
#454
of 8,189 outputs
Outputs of similar age
#10,518
of 168,723 outputs
Outputs of similar age from BMC Infectious Diseases
#6
of 86 outputs
Altmetric has tracked 24,496,759 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,189 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has done particularly well, scoring higher than 94% 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 168,723 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 93% of its contemporaries.
We're also able to compare this research output to 86 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 94% of its contemporaries.