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Mendeley readers
Attention Score in Context
| Title |
Measurement properties of painDETECT: Rasch analysis of responses from community-dwelling adults with neuropathic pain
|
|---|---|
| Published in |
BMC Neurology, March 2017
|
| DOI | 10.1186/s12883-017-0825-2 |
| Pubmed ID | |
| Authors |
Tara L. Packham, Joseph C. Cappelleri, Alesia Sadosky, Joy C. MacDermid, Florian Brunner |
| Abstract |
painDETECT (PD-Q) is a self-reported assessment of pain qualities developed as a screening tool for pain of neuropathic origin. Rasch analysis is a strategy for examining the measurement characteristics of a scale using a form of item response theory. We conducted a Rasch analysis to consider if the scoring and measurement properties of PD-Q would support its use as an outcome measure. Rasch analysis was conducted on PD-Q scores drawn from a cross-sectional study of the burden and costs of NeP. The analysis followed an iterative process based on recommendations in the literature, including examination of sequential scoring categories, unidimensionality, reliability and differential item function. Data from 624 persons with a diagnosis of painful diabetic polyneuropathy, small fibre neuropathy, and neuropathic pain associated with chronic low back pain, spinal cord injury, HIV-related pain, or chronic post-surgical pain was used for this analysis. PD-Q demonstrated fit to the Rasch model after adjustments of scoring categories for four items, and omission of the time course and radiating questions. The resulting seven-item scale of pain qualities demonstrated good reliability with a person-separation index of 0.79. No scoring bias (differential item functioning) was found for this version. Rasch modelling suggests the seven pain-qualities items from PD-Q may be used as an outcome measure. Further research is required to confirm validity and responsiveness in a clinical setting. |
Mendeley readers
The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 1% |
| Unknown | 96 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 14% |
| Student > Master | 11 | 11% |
| Researcher | 10 | 10% |
| Student > Bachelor | 10 | 10% |
| Student > Postgraduate | 7 | 7% |
| Other | 26 | 27% |
| Unknown | 19 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 25 | 26% |
| Nursing and Health Professions | 19 | 20% |
| Unspecified | 4 | 4% |
| Agricultural and Biological Sciences | 3 | 3% |
| Arts and Humanities | 3 | 3% |
| Other | 14 | 14% |
| Unknown | 29 | 30% |
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 09 December 2017.
All research outputs
#5,567,969
of 22,962,258 outputs
Outputs from BMC Neurology
#637
of 2,454 outputs
Outputs of similar age
#89,732
of 310,368 outputs
Outputs of similar age from BMC Neurology
#11
of 48 outputs
Altmetric has tracked 22,962,258 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,454 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one has gotten more attention than average, scoring higher than 74% 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 310,368 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 48 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.