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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Human Autologous iPSC-Derived Dopaminergic Progenitors Restore Motor Function in Parkinson’s Disease Models
|
|---|---|
| Published in |
Journal of Clinical Investigation, January 2020
|
| DOI | 10.1172/jci130767 |
| Pubmed ID | |
| Authors |
Bin Song, Young Cha, Sanghyeok Ko, Jeha Jeon, Nayeon Lee, Hyemyung Seo, Kyung-Joon Park, In-Hee Lee, Claudia Lopes, Melissa Feitosa, María José Luna, Jin Hyuk Jung, Jisun Kim, Dabin Hwang, Bruce M Cohen, Martin H Teicher, Pierre Leblanc, Bob S Carter, Jeffrey H Kordower, Vadim Y Bolshakov, Sek Won Kong, Jeffrey S Schweitzer, Kwang-Soo Kim |
X Demographics
The data shown below were collected from the profiles of 41 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 17% |
| United Kingdom | 2 | 5% |
| Japan | 2 | 5% |
| Canada | 2 | 5% |
| Spain | 1 | 2% |
| Hong Kong | 1 | 2% |
| Brazil | 1 | 2% |
| Unknown | 25 | 61% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 28 | 68% |
| Scientists | 10 | 24% |
| Science communicators (journalists, bloggers, editors) | 2 | 5% |
| Practitioners (doctors, other healthcare professionals) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 167 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 167 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 21 | 13% |
| Student > Ph. D. Student | 20 | 12% |
| Researcher | 20 | 12% |
| Student > Master | 15 | 9% |
| Student > Doctoral Student | 6 | 4% |
| Other | 16 | 10% |
| Unknown | 69 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 27 | 16% |
| Neuroscience | 26 | 16% |
| Agricultural and Biological Sciences | 14 | 8% |
| Engineering | 6 | 4% |
| Medicine and Dentistry | 5 | 3% |
| Other | 18 | 11% |
| Unknown | 71 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 68. 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 December 2023.
All research outputs
#630,844
of 25,563,770 outputs
Outputs from Journal of Clinical Investigation
#712
of 17,255 outputs
Outputs of similar age
#15,725
of 477,712 outputs
Outputs of similar age from Journal of Clinical Investigation
#18
of 135 outputs
Altmetric has tracked 25,563,770 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 17,255 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.7. This one has done particularly well, scoring higher than 95% 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 477,712 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 96% of its contemporaries.
We're also able to compare this research output to 135 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.