| Title |
Electronic medical record data to identify variables associated with a fibromyalgia diagnosis: importance of health care resource utilization
|
|---|---|
| Published in |
Journal of Pain Research, March 2015
|
| DOI | 10.2147/jpr.s74900 |
| Pubmed ID | |
| Authors |
Elizabeth T Masters, Jack Mardekian, Birol Emir, Andrew Clair, Max Kuhn, Stuart L Silverman |
| Abstract |
Diagnosis of fibromyalgia (FM) is often challenging. Identifying factors associated with an FM diagnosis may guide health care providers in implementing appropriate diagnostic and management strategies. |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 75 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 17% |
| Student > Bachelor | 9 | 12% |
| Student > Ph. D. Student | 8 | 10% |
| Student > Master | 7 | 9% |
| Student > Postgraduate | 5 | 6% |
| Other | 17 | 22% |
| Unknown | 18 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 29 | 38% |
| Nursing and Health Professions | 7 | 9% |
| Psychology | 5 | 6% |
| Agricultural and Biological Sciences | 3 | 4% |
| Neuroscience | 2 | 3% |
| Other | 9 | 12% |
| Unknown | 22 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 10 January 2017.
All research outputs
#16,722,190
of 25,374,917 outputs
Outputs from Journal of Pain Research
#1,248
of 1,979 outputs
Outputs of similar age
#155,128
of 270,996 outputs
Outputs of similar age from Journal of Pain Research
#8
of 11 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,979 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.2. This one is in the 33rd percentile – i.e., 33% 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 270,996 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.