The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Attention Score in Context
| Title |
Excess multi-cause mortality linked to influenza virus infection in China, 2012–2021: a population-based study
|
|---|---|
| Published in |
Frontiers in Public Health, May 2024
|
| DOI | 10.3389/fpubh.2024.1399672 |
| Pubmed ID | |
| Authors |
Tian-Lu Yin, Ning Chen, Jin-Yao Zhang, Shuang Yang, Wei-Min Li, Xiao-Huan Gao, Hao-Lin Shi, Hong-Pu Hu |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 18 June 2024.
All research outputs
#17,861,983
of 26,163,973 outputs
Outputs from Frontiers in Public Health
#6,641
of 14,603 outputs
Outputs of similar age
#109,402
of 217,317 outputs
Outputs of similar age from Frontiers in Public Health
#80
of 165 outputs
Altmetric has tracked 26,163,973 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,603 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one has gotten more attention than average, scoring higher than 50% 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 217,317 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 165 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.