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X Demographics
Mendeley readers
Title |
Best practices for addressing missing data through multiple imputation
|
---|---|
Published in |
Infant and Child Development, February 2023
|
DOI | 10.1002/icd.2407 |
Authors |
Adrienne D. Woods, Daria Gerasimova, Ben Van Dusen, Jayson Nissen, Sierra Bainter, Alex Uzdavines, Pamela E. Davis‐Kean, Max Halvorson, Kevin M. King, Jessica A. R. Logan, Menglin Xu, Martin R. Vasilev, James M. Clay, David Moreau, Keven Joyal‐Desmarais, Rick A. Cruz, Denver M. Y. Brown, Kathleen Schmidt, Mahmoud M. Elsherif |
X Demographics
The data shown below were collected from the profiles of 15 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 | 7 | 47% |
Canada | 1 | 7% |
Austria | 1 | 7% |
France | 1 | 7% |
Unknown | 5 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 8 | 53% |
Members of the public | 6 | 40% |
Science communicators (journalists, bloggers, editors) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 87 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 19 | 22% |
Researcher | 12 | 14% |
Student > Master | 12 | 14% |
Unspecified | 11 | 13% |
Student > Bachelor | 5 | 6% |
Other | 11 | 13% |
Unknown | 17 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 22 | 25% |
Unspecified | 11 | 13% |
Social Sciences | 7 | 8% |
Computer Science | 5 | 6% |
Nursing and Health Professions | 4 | 5% |
Other | 18 | 21% |
Unknown | 20 | 23% |