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Biallelic variants in COPB1 cause a novel, severe intellectual disability syndrome with cataracts and variable microcephaly

Overview of attention for article published in Genome Medicine, February 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 (95th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

news
6 news outlets
twitter
24 X users

Citations

dimensions_citation
22 Dimensions

Readers on

mendeley
45 Mendeley
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Title
Biallelic variants in COPB1 cause a novel, severe intellectual disability syndrome with cataracts and variable microcephaly
Published in
Genome Medicine, February 2021
DOI 10.1186/s13073-021-00850-w
Pubmed ID
Authors

William L. Macken, Annie Godwin, Gabrielle Wheway, Karen Stals, Liliya Nazlamova, Sian Ellard, Ahmed Alfares, Taghrid Aloraini, Lamia AlSubaie, Majid Alfadhel, Sulaiman Alajaji, Htoo A. Wai, Jay Self, Andrew G. L. Douglas, Alexander P. Kao, Matthew Guille, Diana Baralle

X Demographics

X Demographics

The data shown below were collected from the profiles of 24 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 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 13%
Student > Bachelor 4 9%
Student > Postgraduate 4 9%
Researcher 3 7%
Professor 2 4%
Other 4 9%
Unknown 22 49%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 24%
Nursing and Health Professions 3 7%
Medicine and Dentistry 3 7%
Agricultural and Biological Sciences 3 7%
Linguistics 1 2%
Other 1 2%
Unknown 23 51%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 57. 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 03 March 2022.
All research outputs
#752,196
of 25,611,630 outputs
Outputs from Genome Medicine
#140
of 1,599 outputs
Outputs of similar age
#21,615
of 452,533 outputs
Outputs of similar age from Genome Medicine
#4
of 47 outputs
Altmetric has tracked 25,611,630 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,599 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.6. This one has done particularly well, scoring higher than 91% 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 452,533 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 95% of its contemporaries.
We're also able to compare this research output to 47 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 93% of its contemporaries.