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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Same model, same data, but different outcomes: Evaluating the impact of method choices in structural equation modeling
|
|---|---|
| Published in |
Journal of Product Innovation Management, April 2024
|
| DOI | 10.1111/jpim.12738 |
| Authors |
Marko Sarstedt, Susanne J. Adler, Christian M. Ringle, Gyeongcheol Cho, Adamantios Diamantopoulos, Heungsun Hwang, Benjamin D. Liengaard |
X Demographics
The data shown below were collected from the profiles of 40 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 | 18% |
| Germany | 3 | 8% |
| United Kingdom | 2 | 5% |
| Singapore | 2 | 5% |
| Ireland | 1 | 3% |
| Hong Kong | 1 | 3% |
| Indonesia | 1 | 3% |
| Italy | 1 | 3% |
| Chile | 1 | 3% |
| Other | 8 | 20% |
| Unknown | 13 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 23 | 57% |
| Members of the public | 15 | 38% |
| Practitioners (doctors, other healthcare professionals) | 2 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 29 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor > Associate Professor | 7 | 24% |
| Student > Doctoral Student | 4 | 14% |
| Student > Ph. D. Student | 4 | 14% |
| Lecturer | 2 | 7% |
| Professor | 2 | 7% |
| Other | 5 | 17% |
| Unknown | 5 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Business, Management and Accounting | 14 | 48% |
| Unspecified | 2 | 7% |
| Social Sciences | 2 | 7% |
| Biochemistry, Genetics and Molecular Biology | 2 | 7% |
| Psychology | 2 | 7% |
| Other | 2 | 7% |
| Unknown | 5 | 17% |
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 13 May 2024.
All research outputs
#1,656,139
of 25,913,612 outputs
Outputs from Journal of Product Innovation Management
#29
of 567 outputs
Outputs of similar age
#21,115
of 303,167 outputs
Outputs of similar age from Journal of Product Innovation Management
#1
of 3 outputs
Altmetric has tracked 25,913,612 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 567 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has done particularly well, scoring higher than 94% 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 303,167 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 93% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them