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Application of expanded genetic analysis in the diagnosis of familial hypercholesterolemia in patients with very early-onset coronary artery disease

Overview of attention for article published in Journal of Translational Medicine, December 2018
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

twitter
3 tweeters

Citations

dimensions_citation
20 Dimensions

Readers on

mendeley
33 Mendeley
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Title
Application of expanded genetic analysis in the diagnosis of familial hypercholesterolemia in patients with very early-onset coronary artery disease
Published in
Journal of Translational Medicine, December 2018
DOI 10.1186/s12967-018-1737-7
Pubmed ID
Authors

Ye-Xuan Cao, Na-Qiong Wu, Di Sun, Hui-Hui Liu, Jing-Lu Jin, Sha Li, Yuan-Lin Guo, Cheng-Gang Zhu, Ying Gao, Qiu-Ting Dong, Geng Liu, Qian Dong, Jian-Jun Li

Twitter Demographics

The data shown below were collected from the profiles of 3 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 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 15%
Student > Bachelor 4 12%
Researcher 4 12%
Student > Master 4 12%
Professor 2 6%
Other 2 6%
Unknown 12 36%
Readers by discipline Count As %
Medicine and Dentistry 9 27%
Biochemistry, Genetics and Molecular Biology 5 15%
Agricultural and Biological Sciences 2 6%
Unspecified 1 3%
Nursing and Health Professions 1 3%
Other 2 6%
Unknown 13 39%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 26 December 2018.
All research outputs
#8,465,438
of 14,064,191 outputs
Outputs from Journal of Translational Medicine
#1,317
of 2,726 outputs
Outputs of similar age
#204,706
of 370,424 outputs
Outputs of similar age from Journal of Translational Medicine
#104
of 369 outputs
Altmetric has tracked 14,064,191 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,726 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one is in the 44th percentile – i.e., 44% 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 370,424 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 369 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 65% of its contemporaries.