↓ Skip to main content

Whole-genome sequence association analysis of blood proteins in a longitudinal wellness cohort

Overview of attention for article published in Genome Medicine, June 2020
Altmetric Badge

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 (89th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

blogs
1 blog
twitter
27 X users

Citations

dimensions_citation
24 Dimensions

Readers on

mendeley
51 Mendeley
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.
Title
Whole-genome sequence association analysis of blood proteins in a longitudinal wellness cohort
Published in
Genome Medicine, June 2020
DOI 10.1186/s13073-020-00755-0
Pubmed ID
Authors

Wen Zhong, Anders Gummesson, Abdellah Tebani, Max J. Karlsson, Mun-Gwan Hong, Jochen M. Schwenk, Fredrik Edfors, Göran Bergström, Linn Fagerberg, Mathias Uhlén

X Demographics

X Demographics

The data shown below were collected from the profiles of 27 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 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 24%
Student > Master 6 12%
Student > Ph. D. Student 5 10%
Student > Bachelor 3 6%
Professor > Associate Professor 2 4%
Other 5 10%
Unknown 18 35%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 20 39%
Agricultural and Biological Sciences 3 6%
Medicine and Dentistry 3 6%
Immunology and Microbiology 1 2%
Nursing and Health Professions 1 2%
Other 2 4%
Unknown 21 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 08 July 2020.
All research outputs
#1,487,725
of 23,217,343 outputs
Outputs from Genome Medicine
#328
of 1,452 outputs
Outputs of similar age
#43,186
of 400,070 outputs
Outputs of similar age from Genome Medicine
#8
of 25 outputs
Altmetric has tracked 23,217,343 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,452 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.8. This one has done well, scoring higher than 77% 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 400,070 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 89% of its contemporaries.
We're also able to compare this research output to 25 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 68% of its contemporaries.