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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Xeno-free induced pluripotent stem cell-derived neural progenitor cells for in vivo applications
|
|---|---|
| Published in |
Journal of Translational Medicine, September 2022
|
| DOI | 10.1186/s12967-022-03610-5 |
| Pubmed ID | |
| Authors |
Ruslan Rust, Rebecca Z. Weber, Melanie Generali, Debora Kehl, Chantal Bodenmann, Daniela Uhr, Debora Wanner, Kathrin J. Zürcher, Hirohide Saito, Simon P. Hoerstrup, Roger M. Nitsch, Christian Tackenberg |
X Demographics
The data shown below were collected from the profiles of 12 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 | 2 | 17% |
| Japan | 1 | 8% |
| Switzerland | 1 | 8% |
| United Kingdom | 1 | 8% |
| Unknown | 7 | 58% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 58% |
| Scientists | 4 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 22% |
| Student > Bachelor | 2 | 11% |
| Other | 1 | 6% |
| Student > Master | 1 | 6% |
| Student > Ph. D. Student | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 9 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 3 | 17% |
| Immunology and Microbiology | 2 | 11% |
| Medicine and Dentistry | 2 | 11% |
| Agricultural and Biological Sciences | 1 | 6% |
| Neuroscience | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 8 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 21 September 2022.
All research outputs
#4,901,016
of 25,959,914 outputs
Outputs from Journal of Translational Medicine
#869
of 4,708 outputs
Outputs of similar age
#94,115
of 422,573 outputs
Outputs of similar age from Journal of Translational Medicine
#20
of 122 outputs
Altmetric has tracked 25,959,914 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,708 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. 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 422,573 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 77% of its contemporaries.
We're also able to compare this research output to 122 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.