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Genetic diagnosis of developmental disorders in the DDD study: a scalable analysis of genome-wide research data

Overview of attention for article published in The Lancet, December 2014
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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 (98th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Readers on

mendeley
785 Mendeley
citeulike
5 CiteULike
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Title
Genetic diagnosis of developmental disorders in the DDD study: a scalable analysis of genome-wide research data
Published in
The Lancet, December 2014
DOI 10.1016/s0140-6736(14)61705-0
Pubmed ID
Authors

Caroline F Wright, Tomas W Fitzgerald, Wendy D Jones, Stephen Clayton, Jeremy F McRae, Margriet van Kogelenberg, Daniel A King, Kirsty Ambridge, Daniel M Barrett, Tanya Bayzetinova, A Paul Bevan, Eugene Bragin, Eleni A Chatzimichali, Susan Gribble, Philip Jones, Netravathi Krishnappa, Laura E Mason, Ray Miller, Katherine I Morley, Vijaya Parthiban, Elena Prigmore, Diana Rajan, Alejandro Sifrim, G Jawahar Swaminathan, Adrian R Tivey, Anna Middleton, Michael Parker, Nigel P Carter, Jeffrey C Barrett, Matthew E Hurles, David R FitzPatrick, Helen V Firth, on behalf of the DDD study

X Demographics

X Demographics

The data shown below were collected from the profiles of 117 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 785 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 9 1%
Canada 2 <1%
Italy 1 <1%
Hong Kong 1 <1%
Austria 1 <1%
Finland 1 <1%
India 1 <1%
Germany 1 <1%
Malaysia 1 <1%
Other 7 <1%
Unknown 760 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 129 16%
Researcher 127 16%
Student > Master 91 12%
Other 67 9%
Student > Bachelor 59 8%
Other 150 19%
Unknown 162 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 194 25%
Medicine and Dentistry 135 17%
Agricultural and Biological Sciences 126 16%
Neuroscience 26 3%
Computer Science 20 3%
Other 100 13%
Unknown 184 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 143. 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 20 February 2024.
All research outputs
#293,742
of 25,837,817 outputs
Outputs from The Lancet
#3,123
of 43,003 outputs
Outputs of similar age
#3,122
of 351,870 outputs
Outputs of similar age from The Lancet
#35
of 383 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 43,003 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 68.1. This one has done particularly well, scoring higher than 92% 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 351,870 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 98% of its contemporaries.
We're also able to compare this research output to 383 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 90% of its contemporaries.