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
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
Sweden | 13 | 23% |
United Kingdom | 4 | 7% |
United States | 4 | 7% |
Canada | 2 | 4% |
Austria | 2 | 4% |
Ireland | 1 | 2% |
Switzerland | 1 | 2% |
Brazil | 1 | 2% |
Nigeria | 1 | 2% |
Other | 9 | 16% |
Unknown | 18 | 32% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 29 | 52% |
Scientists | 24 | 43% |
Science communicators (journalists, bloggers, editors) | 3 | 5% |
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
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.