| Title |
Assessing excess mortality in times of pandemics based on principal component analysis of weekly mortality data—the case of COVID-19
|
|---|---|
| Published in |
Genus, August 2021
|
| DOI | 10.1186/s41118-021-00123-9 |
| Pubmed ID | |
| Authors |
Patrizio Vanella, Ugofilippo Basellini, Berit Lange |
X Demographics
The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 3 | 23% |
| South Africa | 1 | 8% |
| United Kingdom | 1 | 8% |
| Palestine, State of | 1 | 8% |
| Unknown | 7 | 54% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 54% |
| Scientists | 4 | 31% |
| Practitioners (doctors, other healthcare professionals) | 1 | 8% |
| Science communicators (journalists, bloggers, editors) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 38 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 18% |
| Student > Bachelor | 4 | 11% |
| Student > Ph. D. Student | 4 | 11% |
| Student > Master | 3 | 8% |
| Student > Doctoral Student | 2 | 5% |
| Other | 3 | 8% |
| Unknown | 15 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Economics, Econometrics and Finance | 6 | 16% |
| Medicine and Dentistry | 5 | 13% |
| Computer Science | 2 | 5% |
| Environmental Science | 2 | 5% |
| Social Sciences | 2 | 5% |
| Other | 5 | 13% |
| Unknown | 16 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 22 November 2022.
All research outputs
#3,263,901
of 25,727,480 outputs
Outputs from Genus
#45
of 177 outputs
Outputs of similar age
#72,379
of 439,598 outputs
Outputs of similar age from Genus
#5
of 13 outputs
Altmetric has tracked 25,727,480 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 177 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.0. This one has gotten more attention than average, scoring higher than 74% 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 439,598 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 13 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 61% of its contemporaries.