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DeepNEU: cellular reprogramming comes of age – a machine learning platform with application to rare diseases research

Overview of attention for article published in Orphanet Journal of Rare Diseases, January 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)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

news
1 news outlet
twitter
2 X users

Citations

dimensions_citation
22 Dimensions

Readers on

mendeley
53 Mendeley
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Title
DeepNEU: cellular reprogramming comes of age – a machine learning platform with application to rare diseases research
Published in
Orphanet Journal of Rare Diseases, January 2019
DOI 10.1186/s13023-018-0983-3
Pubmed ID
Authors

Wayne R. Danter

X Demographics

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 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 53 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 17%
Student > Ph. D. Student 7 13%
Other 5 9%
Student > Bachelor 3 6%
Student > Master 3 6%
Other 5 9%
Unknown 21 40%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 9%
Engineering 5 9%
Agricultural and Biological Sciences 3 6%
Medicine and Dentistry 3 6%
Computer Science 3 6%
Other 12 23%
Unknown 22 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 26 March 2024.
All research outputs
#3,171,439
of 25,576,275 outputs
Outputs from Orphanet Journal of Rare Diseases
#432
of 3,151 outputs
Outputs of similar age
#70,149
of 447,734 outputs
Outputs of similar age from Orphanet Journal of Rare Diseases
#9
of 53 outputs
Altmetric has tracked 25,576,275 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,151 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one has done well, scoring higher than 85% 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 447,734 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 53 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.