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Polygenic risk for triglyceride levels in the presence of a high impact rare variant

Overview of attention for article published in BMC Medical Genomics, November 2023
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (58th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
3 Mendeley
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Title
Polygenic risk for triglyceride levels in the presence of a high impact rare variant
Published in
BMC Medical Genomics, November 2023
DOI 10.1186/s12920-023-01717-2
Pubmed ID
Authors

Shengjie Ying, Tracy Heung, Bhooma Thiruvahindrapuram, Worrawat Engchuan, Yue Yin, Christina Blagojevic, Zhaolei Zhang, Robert A. Hegele, Ryan K. C. Yuen, Anne S. Bassett

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 33%
Unknown 2 67%
Readers by discipline Count As %
Neuroscience 1 33%
Unknown 2 67%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 15 March 2024.
All research outputs
#15,167,990
of 25,490,562 outputs
Outputs from BMC Medical Genomics
#964
of 2,449 outputs
Outputs of similar age
#147,450
of 359,807 outputs
Outputs of similar age from BMC Medical Genomics
#9
of 52 outputs
Altmetric has tracked 25,490,562 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,449 research outputs from this source. They receive a mean Attention Score of 4.4. This one has gotten more attention than average, scoring higher than 60% 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 359,807 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.