You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Human neural stem cell intracerebral grafts show spontaneous early neuronal differentiation after several weeks
|
|---|---|
| Published in |
Clinical Materials, January 2015
|
| DOI | 10.1016/j.biomaterials.2014.12.038 |
| Pubmed ID | |
| Authors |
Annette Tennstaedt, Markus Aswendt, Joanna Adamczak, Ursel Collienne, Marion Selt, Gabriele Schneider, Nadine Henn, Cordula Schaefer, Marie Lagouge, Dirk Wiedermann, Peter Kloppenburg, Mathias Hoehn |
| Abstract |
Human neural stem cells (hNSCs) hold great promise for the treatment of neurological diseases. Considerable progress has been made to induce neural differentiation in the cell culture in vitro and upon transplantation in vivo [2] in order to explore restoration of damaged neuronal circuits. However, in vivo conventional strategies are limited to post mortem analysis. Here, we apply our developed first fate mapping platform to monitor neuronal differentiation in vivo by magnetic resonance imaging, bioluminescence imaging, and fluorescence imaging. Ferritin, Luciferase and GFP under neuronal-specific promoters for immature and mature neurons, respectively, were used to generate transgenic hNSCs. Differentiation-linked imaging reporter expression was validated in vitro. The time profile of spontaneous neuronal maturation after transplantation into mouse brain cortex demonstrated early neuronal differentiation within 6 weeks. Fully mature neurons expressing synaptogenesis were observed only after three months or longer. Our trimodal fate mapping strategy represents a unique non-invasive tool to monitor the time course of neuronal differentiation of transplanted stem cells in vivo. |
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 % |
|---|---|---|
| Australia | 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 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 1 | 1% |
| Colombia | 1 | 1% |
| Germany | 1 | 1% |
| France | 1 | 1% |
| Japan | 1 | 1% |
| Unknown | 63 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 22% |
| Student > Ph. D. Student | 11 | 16% |
| Student > Bachelor | 11 | 16% |
| Student > Master | 9 | 13% |
| Student > Doctoral Student | 6 | 9% |
| Other | 10 | 15% |
| Unknown | 6 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 22 | 32% |
| Neuroscience | 16 | 24% |
| Medicine and Dentistry | 9 | 13% |
| Engineering | 6 | 9% |
| Biochemistry, Genetics and Molecular Biology | 4 | 6% |
| Other | 4 | 6% |
| Unknown | 7 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 January 2015.
All research outputs
#2,124,452
of 25,374,647 outputs
Outputs from Clinical Materials
#393
of 10,751 outputs
Outputs of similar age
#28,582
of 359,810 outputs
Outputs of similar age from Clinical Materials
#11
of 111 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,751 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one has done particularly well, scoring higher than 96% 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 359,810 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 92% of its contemporaries.
We're also able to compare this research output to 111 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.