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.
Mendeley readers
Attention Score in Context
| Title |
Sampling weight adjustments in partial least squares structural equation modeling: guidelines and illustrations
|
|---|---|
| Published in |
Total Quality Management, April 2020
|
| DOI | 10.1080/14783363.2020.1754125 |
| Authors |
Jun-Hwa Cheah, José L. Roldán, Enrico Ciavolino, Hiram Ting, T. Ramayah |
Mendeley readers
The data shown below were compiled from readership statistics for 264 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 264 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 57 | 22% |
| Lecturer > Senior Lecturer | 19 | 7% |
| Lecturer | 19 | 7% |
| Student > Master | 17 | 6% |
| Student > Doctoral Student | 15 | 6% |
| Other | 55 | 21% |
| Unknown | 82 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Business, Management and Accounting | 77 | 29% |
| Social Sciences | 20 | 8% |
| Economics, Econometrics and Finance | 14 | 5% |
| Arts and Humanities | 9 | 3% |
| Computer Science | 9 | 3% |
| Other | 39 | 15% |
| Unknown | 96 | 36% |
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 09 June 2020.
All research outputs
#22,771,990
of 25,387,668 outputs
Outputs from Total Quality Management
#171
of 217 outputs
Outputs of similar age
#352,447
of 407,302 outputs
Outputs of similar age from Total Quality Management
#4
of 5 outputs
Altmetric has tracked 25,387,668 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 217 research outputs from this source. They receive a mean Attention Score of 2.7. 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 407,302 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 5 others from the same source and published within six weeks on either side of this one.