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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Multivariate resting-state functional connectivity predicts response to cognitive behavioral therapy in obsessive–compulsive disorder
|
|---|---|
| Published in |
Proceedings of the National Academy of Sciences of the United States of America, February 2018
|
| DOI | 10.1073/pnas.1716686115 |
| Pubmed ID | |
| Authors |
Nicco Reggente, Teena D. Moody, Francesca Morfini, Courtney Sheen, Jesse Rissman, Joseph O’Neill, Jamie D. Feusner |
| Abstract |
Cognitive behavioral therapy (CBT) is an effective treatment for many with obsessive-compulsive disorder (OCD). However, response varies considerably among individuals. Attaining a means to predict an individual's potential response would permit clinicians to more prudently allocate resources for this often stressful and time-consuming treatment. We collected resting-state functional magnetic resonance imaging from adults with OCD before and after 4 weeks of intensive daily CBT. We leveraged machine learning with cross-validation to assess the power of functional connectivity (FC) patterns to predict individual posttreatment OCD symptom severity. Pretreatment FC patterns within the default mode network and visual network significantly predicted posttreatment OCD severity, explaining up to 67% of the variance. These networks were stronger predictors than pretreatment clinical scores. Results have clinical implications for developing personalized medicine approaches to identifying individual OCD patients who will maximally benefit from intensive CBT. |
X Demographics
The data shown below were collected from the profiles of 18 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 States | 5 | 28% |
| United Kingdom | 3 | 17% |
| Australia | 1 | 6% |
| Canada | 1 | 6% |
| China | 1 | 6% |
| Unknown | 7 | 39% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 56% |
| Scientists | 5 | 28% |
| Practitioners (doctors, other healthcare professionals) | 2 | 11% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 218 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 218 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 53 | 24% |
| Researcher | 30 | 14% |
| Student > Bachelor | 20 | 9% |
| Student > Master | 19 | 9% |
| Student > Doctoral Student | 15 | 7% |
| Other | 32 | 15% |
| Unknown | 49 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 54 | 25% |
| Neuroscience | 40 | 18% |
| Medicine and Dentistry | 13 | 6% |
| Engineering | 6 | 3% |
| Nursing and Health Professions | 5 | 2% |
| Other | 27 | 12% |
| Unknown | 73 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 107. 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 04 January 2019.
All research outputs
#384,609
of 25,018,122 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#6,957
of 102,193 outputs
Outputs of similar age
#9,613
of 456,263 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#148
of 1,020 outputs
Altmetric has tracked 25,018,122 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 102,193 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.0. This one has done particularly well, scoring higher than 93% 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 456,263 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 1,020 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.