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Single cell transcriptomics identifies stem cell-derived graft composition in a model of Parkinson’s disease

Overview of attention for article published in Nature Communications, May 2020
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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)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

news
3 news outlets
blogs
2 blogs
twitter
56 X users
facebook
1 Facebook page

Citations

dimensions_citation
65 Dimensions

Readers on

mendeley
164 Mendeley
Title
Single cell transcriptomics identifies stem cell-derived graft composition in a model of Parkinson’s disease
Published in
Nature Communications, May 2020
DOI 10.1038/s41467-020-16225-5
Pubmed ID
Authors

Katarína Tiklová, Sara Nolbrant, Alessandro Fiorenzano, Åsa K. Björklund, Yogita Sharma, Andreas Heuer, Linda Gillberg, Deirdre B. Hoban, Tiago Cardoso, Andrew F. Adler, Marcella Birtele, Hilda Lundén-Miguel, Nikolaos Volakakis, Agnete Kirkeby, Thomas Perlmann, Malin Parmar

X Demographics

X Demographics

The data shown below were collected from the profiles of 56 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 164 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 164 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 27 16%
Student > Ph. D. Student 17 10%
Student > Bachelor 14 9%
Student > Master 14 9%
Other 10 6%
Other 21 13%
Unknown 61 37%
Readers by discipline Count As %
Neuroscience 36 22%
Biochemistry, Genetics and Molecular Biology 25 15%
Agricultural and Biological Sciences 15 9%
Medicine and Dentistry 5 3%
Pharmacology, Toxicology and Pharmaceutical Science 5 3%
Other 14 9%
Unknown 64 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 69. 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 27 July 2023.
All research outputs
#609,418
of 25,218,929 outputs
Outputs from Nature Communications
#10,532
of 55,785 outputs
Outputs of similar age
#17,494
of 392,580 outputs
Outputs of similar age from Nature Communications
#316
of 1,560 outputs
Altmetric has tracked 25,218,929 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 55,785 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 55.8. This one has done well, scoring higher than 81% 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 392,580 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 1,560 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.