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X Demographics
Mendeley readers
Attention Score in Context
| Title |
On the Complexity of Brain Disorders: A Symptom-Based Approach
|
|---|---|
| Published in |
Frontiers in Computational Neuroscience, February 2016
|
| DOI | 10.3389/fncom.2016.00016 |
| Pubmed ID | |
| Authors |
Ahmed A. Moustafa, Joseph Phillips, Szabolcs Kéri, Blazej Misiak, Dorota Frydecka |
| Abstract |
Mounting evidence shows that brain disorders involve multiple and different neural dysfunctions, including regional brain damage, change to cell structure, chemical imbalance, and/or connectivity loss among different brain regions. Understanding the complexity of brain disorders can help us map these neural dysfunctions to different symptom clusters as well as understand subcategories of different brain disorders. Here, we discuss data on the mapping of symptom clusters to different neural dysfunctions using examples from brain disorders such as major depressive disorder (MDD), Parkinson's disease (PD), schizophrenia, posttraumatic stress disorder (PTSD) and Alzheimer's disease (AD). In addition, we discuss data on the similarities of symptoms in different disorders. Importantly, computational modeling work may be able to shed light on plausible links between various symptoms and neural damage in brain disorders. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 20% |
| Australia | 1 | 20% |
| Canada | 1 | 20% |
| Chile | 1 | 20% |
| Switzerland | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 67 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 18% |
| Student > Ph. D. Student | 7 | 10% |
| Student > Bachelor | 7 | 10% |
| Other | 5 | 7% |
| Student > Master | 5 | 7% |
| Other | 12 | 18% |
| Unknown | 19 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 16 | 24% |
| Medicine and Dentistry | 13 | 19% |
| Neuroscience | 4 | 6% |
| Computer Science | 3 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 3% |
| Other | 5 | 7% |
| Unknown | 24 | 36% |
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 29 December 2017.
All research outputs
#6,054,505
of 22,851,489 outputs
Outputs from Frontiers in Computational Neuroscience
#291
of 1,344 outputs
Outputs of similar age
#83,969
of 298,745 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#7
of 31 outputs
Altmetric has tracked 22,851,489 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 1,344 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has done well, scoring higher than 78% 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 298,745 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.