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RNA sequencing of identical twins discordant for autism reveals blood-based signatures implicating immune and transcriptional dysregulation

Overview of attention for article published in Molecular Autism, November 2019
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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 (84th percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

twitter
18 X users
facebook
1 Facebook page

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
67 Mendeley
Title
RNA sequencing of identical twins discordant for autism reveals blood-based signatures implicating immune and transcriptional dysregulation
Published in
Molecular Autism, November 2019
DOI 10.1186/s13229-019-0285-1
Pubmed ID
Authors

Ayden Saffari, Matt Arno, Eric Nasser, Angelica Ronald, Chloe C. Y. Wong, Leonard C. Schalkwyk, Jonathan Mill, Frank Dudbridge, Emma L. Meaburn

X Demographics

X Demographics

The data shown below were collected from the profiles of 18 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 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 67 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 21%
Student > Master 10 15%
Student > Bachelor 8 12%
Student > Postgraduate 4 6%
Researcher 4 6%
Other 5 7%
Unknown 22 33%
Readers by discipline Count As %
Neuroscience 12 18%
Biochemistry, Genetics and Molecular Biology 10 15%
Psychology 7 10%
Medicine and Dentistry 3 4%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Other 8 12%
Unknown 25 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 04 December 2022.
All research outputs
#2,652,042
of 23,316,003 outputs
Outputs from Molecular Autism
#254
of 678 outputs
Outputs of similar age
#58,060
of 366,995 outputs
Outputs of similar age from Molecular Autism
#4
of 15 outputs
Altmetric has tracked 23,316,003 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 678 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 28.2. This one has gotten more attention than average, scoring higher than 62% 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 366,995 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 15 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 73% of its contemporaries.