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Temporal trajectories of important diseases in the life course and premature mortality in the UK Biobank

Overview of attention for article published in BMC Medicine, May 2022
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2 X users

Citations

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Readers on

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26 Mendeley
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Title
Temporal trajectories of important diseases in the life course and premature mortality in the UK Biobank
Published in
BMC Medicine, May 2022
DOI 10.1186/s12916-022-02384-3
Pubmed ID
Authors

Xianwen Shang, Xueli Zhang, Yu Huang, Zhuoting Zhu, Xiayin Zhang, Shunming Liu, Jiahao Liu, Shulin Tang, Wei Wang, Honghua Yu, Zongyuan Ge, Mingguang He

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 19%
Student > Ph. D. Student 4 15%
Student > Master 2 8%
Other 1 4%
Student > Doctoral Student 1 4%
Other 1 4%
Unknown 12 46%
Readers by discipline Count As %
Medicine and Dentistry 6 23%
Nursing and Health Professions 3 12%
Environmental Science 1 4%
Biochemistry, Genetics and Molecular Biology 1 4%
Decision Sciences 1 4%
Other 1 4%
Unknown 13 50%
Attention Score in Context

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 27 May 2022.
All research outputs
#18,810,584
of 23,312,088 outputs
Outputs from BMC Medicine
#3,270
of 3,508 outputs
Outputs of similar age
#313,309
of 441,232 outputs
Outputs of similar age from BMC Medicine
#96
of 105 outputs
Altmetric has tracked 23,312,088 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,508 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.7. This one is in the 3rd percentile – i.e., 3% of its peers scored the same or lower than it.
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 441,232 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 105 others from the same source and published within six weeks on either side of this one. This one is in the 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.