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Mendeley readers
Attention Score in Context
| Title |
A framework for power analysis using a structural equation modelling procedure
|
|---|---|
| Published in |
BMC Medical Research Methodology, December 2003
|
| DOI | 10.1186/1471-2288-3-27 |
| Pubmed ID | |
| Authors |
Jeremy Miles |
| Abstract |
This paper demonstrates how structural equation modelling (SEM) can be used as a tool to aid in carrying out power analyses. For many complex multivariate designs that are increasingly being employed, power analyses can be difficult to carry out, because the software available lacks sufficient flexibility. Satorra and Saris developed a method for estimating the power of the likelihood ratio test for structural equation models. Whilst the Satorra and Saris approach is familiar to researchers who use the structural equation modelling approach, it is less well known amongst other researchers. The SEM approach can be equivalent to other multivariate statistical tests, and therefore the Satorra and Saris approach to power analysis can be used. |
Mendeley readers
The data shown below were compiled from readership statistics for 151 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 2% |
| United Kingdom | 3 | 2% |
| Brazil | 2 | 1% |
| Indonesia | 1 | <1% |
| Ghana | 1 | <1% |
| Netherlands | 1 | <1% |
| Switzerland | 1 | <1% |
| Turkey | 1 | <1% |
| Australia | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 136 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 37 | 25% |
| Researcher | 33 | 22% |
| Student > Doctoral Student | 14 | 9% |
| Professor > Associate Professor | 12 | 8% |
| Professor | 11 | 7% |
| Other | 33 | 22% |
| Unknown | 11 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 54 | 36% |
| Social Sciences | 21 | 14% |
| Business, Management and Accounting | 17 | 11% |
| Medicine and Dentistry | 16 | 11% |
| Agricultural and Biological Sciences | 6 | 4% |
| Other | 18 | 12% |
| Unknown | 19 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 02 July 2017.
All research outputs
#2,926,107
of 22,714,025 outputs
Outputs from BMC Medical Research Methodology
#464
of 2,003 outputs
Outputs of similar age
#7,819
of 133,088 outputs
Outputs of similar age from BMC Medical Research Methodology
#4
of 4 outputs
Altmetric has tracked 22,714,025 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,003 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one has done well, scoring higher than 76% 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 133,088 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 4 others from the same source and published within six weeks on either side of this one.