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Molecular mechanics and dynamic simulations of well-known Kabuki syndrome-associated KDM6A variants reveal putative mechanisms of dysfunction

Overview of attention for article published in Orphanet Journal of Rare Diseases, February 2021
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Title
Molecular mechanics and dynamic simulations of well-known Kabuki syndrome-associated KDM6A variants reveal putative mechanisms of dysfunction
Published in
Orphanet Journal of Rare Diseases, February 2021
DOI 10.1186/s13023-021-01692-w
Pubmed ID
Authors

Young-In Chi, Timothy J. Stodola, Thiago M. De Assuncao, Elise N. Leverence, Swarnendu Tripathi, Nikita R. Dsouza, Angela J. Mathison, Donald G. Basel, Brian F. Volkman, Brian C. Smith, Gwen Lomberk, Michael T. Zimmermann, Raul Urrutia

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X Demographics

The data shown below were collected from the profiles of 2 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 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 14%
Student > Bachelor 2 10%
Lecturer 2 10%
Student > Ph. D. Student 2 10%
Student > Doctoral Student 1 5%
Other 3 14%
Unknown 8 38%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 38%
Agricultural and Biological Sciences 1 5%
Chemistry 1 5%
Medicine and Dentistry 1 5%
Unknown 10 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 11 February 2021.
All research outputs
#15,668,551
of 23,281,392 outputs
Outputs from Orphanet Journal of Rare Diseases
#1,832
of 2,669 outputs
Outputs of similar age
#306,911
of 505,784 outputs
Outputs of similar age from Orphanet Journal of Rare Diseases
#57
of 84 outputs
Altmetric has tracked 23,281,392 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,669 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one is in the 23rd percentile – i.e., 23% 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 505,784 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 84 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.