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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A neural extracellular matrix-based method for in vitrohippocampal neuron culture and dopaminergic differentiation of neural stem cells
|
|---|---|
| Published in |
BMC Neuroscience, April 2013
|
| DOI | 10.1186/1471-2202-14-48 |
| Pubmed ID | |
| Authors |
Patricia García-Parra, Marcos Maroto, Fabio Cavaliere, Neia Naldaiz-Gastesi, José Iñaki Álava, Antonio G García, Adolfo López de Munain, Ander Izeta |
| Abstract |
The ability to recreate an optimal cellular microenvironment is critical to understand neuronal behavior and functionality in vitro. An organized neural extracellular matrix (nECM) promotes neural cell adhesion, proliferation and differentiation. Here, we expanded previous observations on the ability of nECM to support in vitro neuronal differentiation, with the following goals: (i) to recreate complex neuronal networks of embryonic rat hippocampal cells, and (ii) to achieve improved levels of dopaminergic differentiation of subventricular zone (SVZ) neural progenitor cells. |
X Demographics
The data shown below were collected from the profiles of 3 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 | 1 | 33% |
| United States | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 2% |
| Germany | 1 | 2% |
| Unknown | 64 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 32% |
| Researcher | 14 | 21% |
| Student > Master | 10 | 15% |
| Student > Bachelor | 5 | 8% |
| Professor > Associate Professor | 3 | 5% |
| Other | 6 | 9% |
| Unknown | 7 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 28 | 42% |
| Biochemistry, Genetics and Molecular Biology | 9 | 14% |
| Medicine and Dentistry | 7 | 11% |
| Engineering | 5 | 8% |
| Neuroscience | 3 | 5% |
| Other | 5 | 8% |
| Unknown | 9 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 23 April 2013.
All research outputs
#14,931,785
of 23,881,329 outputs
Outputs from BMC Neuroscience
#616
of 1,265 outputs
Outputs of similar age
#115,507
of 199,670 outputs
Outputs of similar age from BMC Neuroscience
#14
of 28 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,265 research outputs from this source. They receive a mean Attention Score of 4.5. This one is in the 48th percentile – i.e., 48% of its peers scored the same or lower than it.
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 199,670 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.