| Title |
Pluripotent Stem Cells for Modelling and Cell Therapy of Parkinson’s Disease
|
|---|---|
| Published in |
Biochemistry, September 2018
|
| DOI | 10.1134/s0006297918090067 |
| Pubmed ID | |
| Authors |
O. S. Lebedeva, M. A. Lagarkova |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 91 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 19 | 21% |
| Student > Master | 12 | 13% |
| Researcher | 9 | 10% |
| Student > Ph. D. Student | 8 | 9% |
| Other | 7 | 8% |
| Other | 14 | 15% |
| Unknown | 22 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 15 | 16% |
| Neuroscience | 14 | 15% |
| Medicine and Dentistry | 14 | 15% |
| Agricultural and Biological Sciences | 13 | 14% |
| Pharmacology, Toxicology and Pharmaceutical Science | 5 | 5% |
| Other | 8 | 9% |
| Unknown | 22 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 14 December 2018.
All research outputs
#3,711,927
of 25,385,509 outputs
Outputs from Biochemistry
#1,176
of 22,293 outputs
Outputs of similar age
#71,883
of 350,978 outputs
Outputs of similar age from Biochemistry
#16
of 134 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 22,293 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done particularly well, scoring higher than 94% 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 350,978 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 79% of its contemporaries.
We're also able to compare this research output to 134 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.