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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Excess mortality related to seasonal influenza and extreme temperatures in Denmark, 1994-2010
|
|---|---|
| Published in |
BMC Infectious Diseases, December 2011
|
| DOI | 10.1186/1471-2334-11-350 |
| Pubmed ID | |
| Authors |
Jens Nielsen, Anne Mazick, Steffen Glismann, Kåre Mølbak |
| Abstract |
In temperate zones, all-cause mortality exhibits a marked seasonality, and one of the main causes of winter excess mortality is influenza. There is a tradition of using statistical models based on mortality from respiratory illnesses (Pneumonia and Influenza: PI) or all-cause mortality for estimating the number of deaths related to influenza. Different authors have applied different estimation methodologies. We estimated mortality related to influenza and periods with extreme temperatures in Denmark over the seasons 1994/95 to 2009/10. |
X Demographics
The data shown below were collected from the profiles of 4 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 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
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 % |
|---|---|---|
| Hong Kong | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 56 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 10 | 17% |
| Researcher | 9 | 16% |
| Student > Ph. D. Student | 6 | 10% |
| Professor > Associate Professor | 5 | 9% |
| Student > Bachelor | 5 | 9% |
| Other | 7 | 12% |
| Unknown | 16 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 18 | 31% |
| Social Sciences | 5 | 9% |
| Nursing and Health Professions | 4 | 7% |
| Agricultural and Biological Sciences | 3 | 5% |
| Mathematics | 2 | 3% |
| Other | 7 | 12% |
| Unknown | 19 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 30 November 2020.
All research outputs
#3,026,848
of 25,654,806 outputs
Outputs from BMC Infectious Diseases
#968
of 8,668 outputs
Outputs of similar age
#22,179
of 249,179 outputs
Outputs of similar age from BMC Infectious Diseases
#6
of 82 outputs
Altmetric has tracked 25,654,806 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,668 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.4. This one has done well, scoring higher than 88% 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 249,179 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 91% of its contemporaries.
We're also able to compare this research output to 82 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 92% of its contemporaries.