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X Demographics
Mendeley readers
Attention Score in Context
| Title |
ShinyCortex: Exploring Single-Cell Transcriptome Data From the Developing Human Cortex
|
|---|---|
| Published in |
Frontiers in Neuroscience, May 2018
|
| DOI | 10.3389/fnins.2018.00315 |
| Pubmed ID | |
| Authors |
Jorge Kageyama, Damian Wollny, Barbara Treutlein, J. Gray Camp |
| Abstract |
Single-cell mRNA sequencing (scRNA-seq) is a powerful method to identify and classify cell types and reconstruct differentiation trajectories within complex tissues, such as the developing human cortex. scRNA-seq data also enables the discovery of cell type-specific marker genes and genes that regulate developmental transitions. Here we provide a brief overview of how scRNA-seq has been shaping the study of human cortex development, and present ShinyCortex, a resource that brings together data from recent scRNA-seq studies of the developing cortex for further analysis. ShinyCortex is based in R and displays recently published scRNA-seq data from the human and mouse cortex in a comprehensible, dynamic and accessible way, suitable for data exploration by biologists. |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Austria | 1 | 14% |
| Spain | 1 | 14% |
| Switzerland | 1 | 14% |
| Unknown | 4 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 86% |
| Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 71 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 20% |
| Researcher | 12 | 17% |
| Student > Master | 7 | 10% |
| Student > Bachelor | 5 | 7% |
| Professor | 4 | 6% |
| Other | 9 | 13% |
| Unknown | 20 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 16 | 23% |
| Biochemistry, Genetics and Molecular Biology | 13 | 18% |
| Agricultural and Biological Sciences | 13 | 18% |
| Materials Science | 2 | 3% |
| Nursing and Health Professions | 1 | 1% |
| Other | 4 | 6% |
| Unknown | 22 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 07 June 2018.
All research outputs
#14,920,631
of 25,382,440 outputs
Outputs from Frontiers in Neuroscience
#6,088
of 11,542 outputs
Outputs of similar age
#175,872
of 340,954 outputs
Outputs of similar age from Frontiers in Neuroscience
#141
of 240 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,542 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one is in the 45th percentile – i.e., 45% 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 340,954 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 240 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.