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Multi-method genome- and epigenome-wide studies of inflammatory protein levels in healthy older adults

Overview of attention for article published in Genome Medicine, July 2020
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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 (89th percentile)

Mentioned by

blogs
1 blog
twitter
24 tweeters

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
32 Mendeley
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Title
Multi-method genome- and epigenome-wide studies of inflammatory protein levels in healthy older adults
Published in
Genome Medicine, July 2020
DOI 10.1186/s13073-020-00754-1
Pubmed ID
Authors

Robert F. Hillary, Daniel Trejo-Banos, Athanasios Kousathanas, Daniel L. McCartney, Sarah E. Harris, Anna J. Stevenson, Marion Patxot, Sven Erik Ojavee, Qian Zhang, David C. Liewald, Craig W. Ritchie, Kathryn L. Evans, Elliot M. Tucker-Drob, Naomi R. Wray, Allan F. McRae, Peter M. Visscher, Ian J. Deary, Matthew R. Robinson, Riccardo E. Marioni

Twitter Demographics

The data shown below were collected from the profiles of 24 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 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 16%
Student > Master 5 16%
Researcher 4 13%
Student > Bachelor 4 13%
Professor 2 6%
Other 3 9%
Unknown 9 28%
Readers by discipline Count As %
Neuroscience 4 13%
Agricultural and Biological Sciences 4 13%
Medicine and Dentistry 4 13%
Biochemistry, Genetics and Molecular Biology 3 9%
Engineering 2 6%
Other 4 13%
Unknown 11 34%

Attention Score in Context

This research output has an Altmetric Attention Score of 23. 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 16 August 2020.
All research outputs
#1,155,381
of 19,292,348 outputs
Outputs from Genome Medicine
#253
of 1,280 outputs
Outputs of similar age
#32,616
of 299,118 outputs
Outputs of similar age from Genome Medicine
#1
of 1 outputs
Altmetric has tracked 19,292,348 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,280 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.5. This one has done well, scoring higher than 80% 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 299,118 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 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