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Dealing with missing data by EM in single-case studies

Overview of attention for article published in Behavior Research Methods, February 2019
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Mentioned by

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1 tweeter

Readers on

mendeley
2 Mendeley
Title
Dealing with missing data by EM in single-case studies
Published in
Behavior Research Methods, February 2019
DOI 10.3758/s13428-019-01210-8
Authors

Li-Ting Chen, Yanan Feng, Po-Ju Wu, Chao-Ying Joanne Peng

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 50%
Lecturer > Senior Lecturer 1 50%
Student > Doctoral Student 1 50%
Readers by discipline Count As %
Business, Management and Accounting 1 50%
Psychology 1 50%
Decision Sciences 1 50%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 February 2019.
All research outputs
#11,550,141
of 12,996,276 outputs
Outputs from Behavior Research Methods
#972
of 1,125 outputs
Outputs of similar age
#211,064
of 248,796 outputs
Outputs of similar age from Behavior Research Methods
#55
of 70 outputs
Altmetric has tracked 12,996,276 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,125 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one is in the 1st percentile – i.e., 1% 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 248,796 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 70 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.