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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Subjective Cognitive Fatigue and Autonomic Abnormalities in Multiple Sclerosis Patients
|
|---|---|
| Published in |
Frontiers in Neurology, September 2017
|
| DOI | 10.3389/fneur.2017.00475 |
| Pubmed ID | |
| Authors |
Carina Sander, Helmut Hildebrandt, Hans-Peter Schlake, Paul Eling, Katrin Hanken |
| Abstract |
Cognitive fatigue and autonomic abnormalities are frequent symptoms in MS. Our model of MS-related fatigue assumes a shared neural network for cognitive fatigue and autonomic failures, i.e., aberrant vagus nerve activity induced by inflammatory processes. Therefore, they should occur in common. To explore the relationship between cognitive fatigue and autonomic symptoms in MS patients, using self-reported questionnaires. In 95 MS patients, cognitive fatigue was assessed with the Fatigue Scale for Motor and Cognitive Functions and autonomic abnormalities with the Composite Autonomic Symptom Scale-31 (COMPASS-31). We used exploratory correlational analyses and hierarchical regression analysis, controlling for age, depressive mood, disease status, and disease duration, to analyze the relation between autonomic abnormalities and cognitive fatigue. The cognitive fatigue score strongly correlated with the COMPASS-31 score (r = 0.47, p < 0.001). Regression analysis revealed that a model, including the COMPASS-31 domains: pupillomotor, orthostatic intolerance, and bladder, best predict the level of cognitive fatigue (R(2) = 0.47, p < 0.001) after forcing the covariates into the model. In MS patients, cognitive fatigue and autonomic dysfunction share a proportion of variance. This supports our model assuming that fatigue might be explained at least partially by inflammation-induced vagus nerve activity. |
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 % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 38 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 21% |
| Student > Postgraduate | 5 | 13% |
| Researcher | 5 | 13% |
| Student > Bachelor | 4 | 11% |
| Student > Master | 3 | 8% |
| Other | 5 | 13% |
| Unknown | 8 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 8 | 21% |
| Medicine and Dentistry | 7 | 18% |
| Psychology | 5 | 13% |
| Nursing and Health Professions | 2 | 5% |
| Engineering | 2 | 5% |
| Other | 5 | 13% |
| Unknown | 9 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 15 September 2017.
All research outputs
#17,914,959
of 23,002,898 outputs
Outputs from Frontiers in Neurology
#7,141
of 11,904 outputs
Outputs of similar age
#226,882
of 316,290 outputs
Outputs of similar age from Frontiers in Neurology
#111
of 192 outputs
Altmetric has tracked 23,002,898 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,904 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one is in the 34th percentile – i.e., 34% 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 316,290 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 192 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.