| Title |
Mental comorbidity and multiple sclerosis: validating administrative data to support population-based surveillance
|
|---|---|
| Published in |
BMC Neurology, February 2013
|
| DOI | 10.1186/1471-2377-13-16 |
| Pubmed ID | |
| Authors |
Ruth Ann Marrie, John D Fisk, Bo Nancy Yu, Stella Leung, Lawrence Elliott, Patricia Caetano, Sharon Warren, Charity Evans, Christina Wolfson, Lawrence W Svenson, Helen Tremlett, James F Blanchard, Scott B Patten, for the CIHR Team in the Epidemiology and Impact of Comorbidity on Multiple Sclerosis |
| Abstract |
While mental comorbidity is considered common in multiple sclerosis (MS), its impact is poorly defined; methods are needed to support studies of mental comorbidity. We validated and applied administrative case definitions for any mental comorbidities in MS. |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Egypt | 1 | 14% |
| Canada | 1 | 14% |
| Grenada | 1 | 14% |
| Mexico | 1 | 14% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 71% |
| Scientists | 1 | 14% |
| Practitioners (doctors, other healthcare professionals) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | <1% |
| Unknown | 113 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 14% |
| Student > Ph. D. Student | 15 | 13% |
| Student > Master | 15 | 13% |
| Student > Postgraduate | 9 | 8% |
| Other | 8 | 7% |
| Other | 21 | 18% |
| Unknown | 30 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 42 | 37% |
| Psychology | 12 | 11% |
| Neuroscience | 6 | 5% |
| Social Sciences | 4 | 4% |
| Agricultural and Biological Sciences | 2 | 2% |
| Other | 9 | 8% |
| Unknown | 39 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 05 January 2014.
All research outputs
#6,072,078
of 22,694,633 outputs
Outputs from BMC Neurology
#681
of 2,418 outputs
Outputs of similar age
#66,010
of 282,949 outputs
Outputs of similar age from BMC Neurology
#9
of 35 outputs
Altmetric has tracked 22,694,633 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 2,418 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one has gotten more attention than average, scoring higher than 71% 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 282,949 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 35 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 71% of its contemporaries.