You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
Title |
How to improve the substantive interpretation of regression results when the dependent variable is logged
|
---|---|
Published in |
Political Science Research and Methods, August 2023
|
DOI | 10.1017/psrm.2023.29 |
Authors |
Oliver Rittmann, Marcel Neunhoeffer, Thomas Gschwend |
X Demographics
The data shown below were collected from the profiles of 56 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 | 12 | 21% |
Germany | 4 | 7% |
United Arab Emirates | 1 | 2% |
Canada | 1 | 2% |
Hong Kong | 1 | 2% |
Australia | 1 | 2% |
Brazil | 1 | 2% |
Russia | 1 | 2% |
Switzerland | 1 | 2% |
Other | 7 | 13% |
Unknown | 26 | 46% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 32 | 57% |
Members of the public | 21 | 38% |
Practitioners (doctors, other healthcare professionals) | 2 | 4% |
Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 8 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 3 | 38% |
Professor > Associate Professor | 2 | 25% |
Other | 1 | 13% |
Student > Postgraduate | 1 | 13% |
Unknown | 1 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Social Sciences | 3 | 38% |
Economics, Econometrics and Finance | 2 | 25% |
Environmental Science | 1 | 13% |
Business, Management and Accounting | 1 | 13% |
Unknown | 1 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 34. 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 16 August 2023.
All research outputs
#1,192,795
of 25,770,491 outputs
Outputs from Political Science Research and Methods
#60
of 551 outputs
Outputs of similar age
#21,327
of 360,703 outputs
Outputs of similar age from Political Science Research and Methods
#2
of 20 outputs
Altmetric has tracked 25,770,491 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 551 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.9. This one has done well, scoring higher than 89% of its peers.
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 360,703 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.