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ClinGen Variant Curation Interface: a variant classification platform for the application of evidence criteria from ACMG/AMP guidelines

Overview of attention for article published in Genome Medicine, January 2022
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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 (90th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

twitter
28 X users

Citations

dimensions_citation
36 Dimensions

Readers on

mendeley
73 Mendeley
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Title
ClinGen Variant Curation Interface: a variant classification platform for the application of evidence criteria from ACMG/AMP guidelines
Published in
Genome Medicine, January 2022
DOI 10.1186/s13073-021-01004-8
Pubmed ID
Authors

Christine G. Preston, Matt W. Wright, Rao Madhavrao, Steven M. Harrison, Jennifer L. Goldstein, Xi Luo, Hannah Wand, Bryan Wulf, Gloria Cheung, Mark E. Mandell, Howard Tong, Shaung Cheng, Michael A. Iacocca, Arturo Lopez Pineda, Alice B. Popejoy, Karen Dalton, Jimmy Zhen, Selina S. Dwight, Lawrence Babb, Marina DiStefano, Julianne M. O’Daniel, Kristy Lee, Erin R. Riggs, Diane B. Zastrow, Jessica L. Mester, Deborah I. Ritter, Ronak Y. Patel, Sai Lakshmi Subramanian, Aleksander Milosavljevic, Jonathan S. Berg, Heidi L. Rehm, Sharon E. Plon, J. Michael Cherry, Carlos D. Bustamante, Helio A. Costa

X Demographics

X Demographics

The data shown below were collected from the profiles of 28 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 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 73 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 16%
Student > Bachelor 7 10%
Student > Ph. D. Student 6 8%
Student > Master 6 8%
Other 5 7%
Other 8 11%
Unknown 29 40%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 21 29%
Medicine and Dentistry 12 16%
Agricultural and Biological Sciences 4 5%
Nursing and Health Professions 2 3%
Social Sciences 1 1%
Other 1 1%
Unknown 32 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 31 January 2022.
All research outputs
#1,988,279
of 25,556,408 outputs
Outputs from Genome Medicine
#441
of 1,596 outputs
Outputs of similar age
#48,707
of 517,208 outputs
Outputs of similar age from Genome Medicine
#11
of 26 outputs
Altmetric has tracked 25,556,408 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,596 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.7. This one has gotten more attention than average, scoring higher than 72% 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 517,208 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 90% of its contemporaries.
We're also able to compare this research output to 26 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 61% of its contemporaries.