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Functional interpretation of ATAD3A variants in neuro-mitochondrial phenotypes

Overview of attention for article published in Genome Medicine, April 2021
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
3 news outlets
twitter
19 X users

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
35 Mendeley
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Title
Functional interpretation of ATAD3A variants in neuro-mitochondrial phenotypes
Published in
Genome Medicine, April 2021
DOI 10.1186/s13073-021-00873-3
Pubmed ID
Authors

Zheng Yie Yap, Yo Han Park, Saskia B. Wortmann, Adam C. Gunning, Shlomit Ezer, Sukyeong Lee, Lita Duraine, Ekkehard Wilichowski, Kate Wilson, Johannes A. Mayr, Matias Wagner, Hong Li, Usha Kini, Emily Davis Black, Kristin G. Monaghan, James R. Lupski, Sian Ellard, Dominik S. Westphal, Tamar Harel, Wan Hee Yoon

X Demographics

X Demographics

The data shown below were collected from the profiles of 19 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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 20%
Student > Bachelor 5 14%
Student > Master 5 14%
Researcher 2 6%
Other 1 3%
Other 0 0%
Unknown 15 43%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 26%
Medicine and Dentistry 6 17%
Agricultural and Biological Sciences 2 6%
Neuroscience 2 6%
Immunology and Microbiology 1 3%
Other 0 0%
Unknown 15 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 33. 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 22 November 2022.
All research outputs
#1,171,022
of 25,079,481 outputs
Outputs from Genome Medicine
#236
of 1,546 outputs
Outputs of similar age
#31,248
of 434,236 outputs
Outputs of similar age from Genome Medicine
#4
of 58 outputs
Altmetric has tracked 25,079,481 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,546 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.2. This one has done well, scoring higher than 84% 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 434,236 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.