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Systems genetics analysis identifies calcium-signaling defects as novel cause of congenital heart disease

Overview of attention for article published in Genome Medicine, August 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)

Mentioned by

twitter
8 tweeters

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
13 Mendeley
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Title
Systems genetics analysis identifies calcium-signaling defects as novel cause of congenital heart disease
Published in
Genome Medicine, August 2020
DOI 10.1186/s13073-020-00772-z
Pubmed ID
Authors

Jose M. G. Izarzugaza, Sabrina G. Ellesøe, Canan Doganli, Natasja Spring Ehlers, Marlene D. Dalgaard, Enrique Audain, Gregor Dombrowsky, Karina Banasik, Alejandro Sifrim, Anna Wilsdon, Bernard Thienpont, Jeroen Breckpot, Marc Gewillig, Hashim Abdul-Khaliq, Hans-Heiner Kramer, Felix Berger, Brigitte Stiller, Ulrike Bauer, Thomas Pickardt, Sabine Klaassen, J. David Brook, Marc-Phillip Hitz, Lars A. Larsen, Søren Brunak

Twitter Demographics

The data shown below were collected from the profiles of 8 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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 31%
Professor 2 15%
Researcher 1 8%
Lecturer 1 8%
Unknown 5 38%
Readers by discipline Count As %
Medicine and Dentistry 3 23%
Biochemistry, Genetics and Molecular Biology 3 23%
Pharmacology, Toxicology and Pharmaceutical Science 1 8%
Unspecified 1 8%
Unknown 5 38%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 07 March 2021.
All research outputs
#5,168,833
of 18,810,040 outputs
Outputs from Genome Medicine
#878
of 1,250 outputs
Outputs of similar age
#108,748
of 309,613 outputs
Outputs of similar age from Genome Medicine
#1
of 1 outputs
Altmetric has tracked 18,810,040 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1,250 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.2. This one is in the 29th percentile – i.e., 29% 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 309,613 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 64% 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