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Development of genome-wide polygenic risk scores for lipid traits and clinical applications for dyslipidemia, subclinical atherosclerosis, and diabetes cardiovascular complications among East Asians

Overview of attention for article published in Genome Medicine, February 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)

Mentioned by

twitter
18 tweeters

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
23 Mendeley
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Title
Development of genome-wide polygenic risk scores for lipid traits and clinical applications for dyslipidemia, subclinical atherosclerosis, and diabetes cardiovascular complications among East Asians
Published in
Genome Medicine, February 2021
DOI 10.1186/s13073-021-00831-z
Pubmed ID
Authors

Claudia H. T. Tam, Cadmon K. P. Lim, Andrea O. Y. Luk, Alex C. W. Ng, Heung-man Lee, Guozhi Jiang, Eric S. H. Lau, Baoqi Fan, Raymond Wan, Alice P. S. Kong, Wing-hung Tam, Risa Ozaki, Elaine Y. K. Chow, Ka-fai Lee, Shing-chung Siu, Grace Hui, Chiu-chi Tsang, Kam-piu Lau, Jenny Y. Y. Leung, Man-wo Tsang, Grace Kam, Ip-tim Lau, June K. Y. Li, Vincent T. F. Yeung, Emmy Lau, Stanley Lo, Samuel Fung, Yuk-lun Cheng, Chun-chung Chow, Miao Hu, Weichuan Yu, Stephen K. W. Tsui, Yu Huang, Huiyao Lan, Cheuk-chun Szeto, Nelson L. S. Tang, Maggie C. Y. Ng, Wing-yee So, Brian Tomlinson, Juliana C. N. Chan, Ronald C. W. Ma

Twitter Demographics

The data shown below were collected from the profiles of 18 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 17%
Researcher 4 17%
Student > Ph. D. Student 2 9%
Student > Doctoral Student 1 4%
Student > Bachelor 1 4%
Other 2 9%
Unknown 9 39%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 17%
Medicine and Dentistry 4 17%
Nursing and Health Professions 2 9%
Economics, Econometrics and Finance 1 4%
Social Sciences 1 4%
Other 1 4%
Unknown 10 43%

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 10 March 2021.
All research outputs
#2,151,426
of 18,823,067 outputs
Outputs from Genome Medicine
#515
of 1,251 outputs
Outputs of similar age
#54,338
of 306,598 outputs
Outputs of similar age from Genome Medicine
#1
of 1 outputs
Altmetric has tracked 18,823,067 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 1,251 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.2. This one has gotten more attention than average, scoring higher than 58% 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 306,598 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 82% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them