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Timeline
X Demographics
Mendeley readers
Chapter title |
Using iPSC-Based Models to Understand the Signaling and Cellular Phenotypes in Idiopathic Autism and 16p11.2 Derived Neurons
|
---|---|
Chapter number | 4 |
Book title |
Neurodevelopmental Disorders
|
Published by |
Springer, Cham, June 2020
|
DOI | 10.1007/978-3-030-45493-7_4 |
Pubmed ID | |
Book ISBNs |
978-3-03-045492-0, 978-3-03-045493-7
|
Authors |
Luka Turkalj, Monal Mehta, Paul Matteson, Smrithi Prem, Madeline Williams, Robert J. Connacher, Emanuel DiCicco-Bloom, James H. Millonig, Turkalj, Luka, Mehta, Monal, Matteson, Paul, Prem, Smrithi, Williams, Madeline, Connacher, Robert J., DiCicco-Bloom, Emanuel, Millonig, James H. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 11 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 2 | 18% |
Student > Doctoral Student | 2 | 18% |
Student > Ph. D. Student | 2 | 18% |
Other | 1 | 9% |
Student > Bachelor | 1 | 9% |
Other | 0 | 0% |
Unknown | 3 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Neuroscience | 2 | 18% |
Biochemistry, Genetics and Molecular Biology | 1 | 9% |
Psychology | 1 | 9% |
Agricultural and Biological Sciences | 1 | 9% |
Medicine and Dentistry | 1 | 9% |
Other | 1 | 9% |
Unknown | 4 | 36% |