| Title |
Cluster Analysis of Clinical Data Identifies Fibromyalgia Subgroups
|
|---|---|
| Published in |
PLOS ONE, September 2013
|
| DOI | 10.1371/journal.pone.0074873 |
| Pubmed ID | |
| Authors |
Elisa Docampo, Antonio Collado, Geòrgia Escaramís, Jordi Carbonell, Javier Rivera, Javier Vidal, José Alegre, Raquel Rabionet, Xavier Estivill |
| Abstract |
Fibromyalgia (FM) is mainly characterized by widespread pain and multiple accompanying symptoms, which hinder FM assessment and management. In order to reduce FM heterogeneity we classified clinical data into simplified dimensions that were used to define FM subgroups. |
X Demographics
The data shown below were collected from the profiles of 9 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 | 3 | 33% |
| United States | 2 | 22% |
| France | 1 | 11% |
| Unknown | 3 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 89% |
| Unknown | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 2% |
| Spain | 2 | 2% |
| Italy | 1 | <1% |
| Canada | 1 | <1% |
| Norway | 1 | <1% |
| Unknown | 100 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 18 | 17% |
| Researcher | 15 | 14% |
| Student > Ph. D. Student | 13 | 12% |
| Student > Doctoral Student | 9 | 8% |
| Other | 9 | 8% |
| Other | 19 | 18% |
| Unknown | 24 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 32 | 30% |
| Psychology | 11 | 10% |
| Computer Science | 7 | 7% |
| Nursing and Health Professions | 5 | 5% |
| Agricultural and Biological Sciences | 4 | 4% |
| Other | 19 | 18% |
| Unknown | 29 | 27% |