Title |
Mirror, mirror on the wall: a comparative evaluation of composite-based structural equation modeling methods
|
---|---|
Published in |
Journal of the Academy of Marketing Science, February 2017
|
DOI | 10.1007/s11747-017-0517-x |
Authors |
Joseph F. Hair, G. Tomas M. Hult, Christian M. Ringle, Marko Sarstedt, Kai Oliver Thiele |
X Demographics
The data shown below were collected from the profiles of 7 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 | 3 | 43% |
Germany | 1 | 14% |
United Kingdom | 1 | 14% |
Unknown | 2 | 29% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 43% |
Scientists | 2 | 29% |
Science communicators (journalists, bloggers, editors) | 2 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 2,240 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Malaysia | 2 | <1% |
Spain | 1 | <1% |
United States | 1 | <1% |
France | 1 | <1% |
Unknown | 2235 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 454 | 20% |
Student > Master | 182 | 8% |
Student > Doctoral Student | 168 | 8% |
Lecturer | 152 | 7% |
Lecturer > Senior Lecturer | 92 | 4% |
Other | 401 | 18% |
Unknown | 791 | 35% |
Readers by discipline | Count | As % |
---|---|---|
Business, Management and Accounting | 720 | 32% |
Social Sciences | 181 | 8% |
Economics, Econometrics and Finance | 97 | 4% |
Computer Science | 74 | 3% |
Engineering | 63 | 3% |
Other | 223 | 10% |
Unknown | 882 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 23 July 2019.
All research outputs
#5,710,033
of 23,870,803 outputs
Outputs from Journal of the Academy of Marketing Science
#206
of 774 outputs
Outputs of similar age
#87,960
of 308,872 outputs
Outputs of similar age from Journal of the Academy of Marketing Science
#6
of 17 outputs
Altmetric has tracked 23,870,803 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 774 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.4. This one has gotten more attention than average, scoring higher than 73% 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 308,872 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 17 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 70% of its contemporaries.