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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Statistical process control for data without inherent order
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, August 2012
|
| DOI | 10.1186/1472-6947-12-86 |
| Pubmed ID | |
| Authors |
Alan J Poots, Thomas Woodcock |
| Abstract |
The XmR chart is a powerful analytical tool in statistical process control (SPC) for detecting special causes of variation in a measure of quality. In this analysis a statistic called the average moving range is used as a measure of dispersion of the data. This approach is correct for data with natural underlying order, such as time series data. There is however conflict in the literature over the appropriateness of the XmR chart to analyse data without an inherent ordering. |
X Demographics
The data shown below were collected from the profiles of 4 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 Kingdom | 2 | 50% |
| India | 1 | 25% |
| United States | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 3 | 75% |
| Members of the public | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 5% |
| Unknown | 41 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 19% |
| Student > Ph. D. Student | 6 | 14% |
| Student > Bachelor | 4 | 9% |
| Other | 4 | 9% |
| Student > Master | 4 | 9% |
| Other | 4 | 9% |
| Unknown | 13 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 23% |
| Engineering | 4 | 9% |
| Business, Management and Accounting | 4 | 9% |
| Social Sciences | 3 | 7% |
| Computer Science | 2 | 5% |
| Other | 6 | 14% |
| Unknown | 14 | 33% |
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 27 April 2020.
All research outputs
#4,668,471
of 22,673,450 outputs
Outputs from BMC Medical Informatics and Decision Making
#434
of 1,978 outputs
Outputs of similar age
#33,074
of 166,280 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#16
of 52 outputs
Altmetric has tracked 22,673,450 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 1,978 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 77% 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 166,280 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 52 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 67% of its contemporaries.