You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| 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 106 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 | 99 | 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 | 23 | 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 | 18 | 17% |
| Unknown | 29 | 27% |
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 July 2017.
All research outputs
#5,519,628
of 22,725,280 outputs
Outputs from PLOS ONE
#67,065
of 193,989 outputs
Outputs of similar age
#48,459
of 205,843 outputs
Outputs of similar age from PLOS ONE
#1,471
of 4,995 outputs
Altmetric has tracked 22,725,280 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 193,989 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one has gotten more attention than average, scoring higher than 65% 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 205,843 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 76% of its contemporaries.
We're also able to compare this research output to 4,995 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 70% of its contemporaries.