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X Demographics
Mendeley readers
Attention Score in Context
Title |
How to Deal With Reverse Causality Using Panel Data? Recommendations for Researchers Based on a Simulation Study
|
---|---|
Published in |
Sociological Methods & Research, November 2019
|
DOI | 10.1177/0049124119882473 |
Authors |
Lars Leszczensky, Tobias Wolbring |
X Demographics
The data shown below were collected from the profiles of 29 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 | 24% |
United Kingdom | 3 | 10% |
Germany | 3 | 10% |
Italy | 1 | 3% |
India | 1 | 3% |
Poland | 1 | 3% |
Denmark | 1 | 3% |
Unknown | 12 | 41% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 18 | 62% |
Members of the public | 9 | 31% |
Science communicators (journalists, bloggers, editors) | 1 | 3% |
Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 446 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 446 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 103 | 23% |
Student > Master | 61 | 14% |
Researcher | 42 | 9% |
Student > Doctoral Student | 27 | 6% |
Student > Bachelor | 23 | 5% |
Other | 66 | 15% |
Unknown | 124 | 28% |
Readers by discipline | Count | As % |
---|---|---|
Social Sciences | 97 | 22% |
Economics, Econometrics and Finance | 92 | 21% |
Business, Management and Accounting | 43 | 10% |
Psychology | 12 | 3% |
Computer Science | 8 | 2% |
Other | 47 | 11% |
Unknown | 147 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 23. 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 22 September 2023.
All research outputs
#1,686,091
of 25,744,802 outputs
Outputs from Sociological Methods & Research
#53
of 592 outputs
Outputs of similar age
#35,399
of 376,359 outputs
Outputs of similar age from Sociological Methods & Research
#5
of 18 outputs
Altmetric has tracked 25,744,802 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 592 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.1. This one has done particularly well, scoring higher than 91% 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 376,359 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 90% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.