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X Demographics
Mendeley readers
Attention Score in Context
| Title |
How research on the meta-structure of psychopathology aids in understanding biological correlates of mood and anxiety disorders
|
|---|---|
| Published in |
Biology of Mood & Anxiety Disorders, August 2012
|
| DOI | 10.1186/2045-5380-2-13 |
| Pubmed ID | |
| Authors |
Shani Ofrat, Robert F Krueger |
| Abstract |
Research on biological correlates of psychopathology stands to benefit from being interwoven with an empirically based, quantitative model of mental disorders. Empirically-based classification approaches help to deal effectively with issues such as comorbidity among diagnoses, which often serve as challenges to interpreting research on biological correlates. With regard to the mood and anxiety disorders specifically, quantitative research shows how mood and anxiety disorders are well conceptualized as elements within a broad internalizing spectrum of psychopathology, such that many putative biological correlates of specific disorders may be better conceptualized as delineating the pathophysiology of the broader mechanisms underlying multiple disorders. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 33% |
| United Kingdom | 1 | 33% |
| United States | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
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 % |
|---|---|---|
| Brazil | 1 | 3% |
| Unknown | 37 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 18% |
| Researcher | 6 | 16% |
| Student > Bachelor | 4 | 11% |
| Professor | 3 | 8% |
| Student > Doctoral Student | 2 | 5% |
| Other | 5 | 13% |
| Unknown | 11 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 14 | 37% |
| Neuroscience | 5 | 13% |
| Medicine and Dentistry | 4 | 11% |
| Computer Science | 1 | 3% |
| Agricultural and Biological Sciences | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 12 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 September 2012.
All research outputs
#13,366,719
of 22,675,759 outputs
Outputs from Biology of Mood & Anxiety Disorders
#43
of 66 outputs
Outputs of similar age
#82,808
of 149,519 outputs
Outputs of similar age from Biology of Mood & Anxiety Disorders
#3
of 4 outputs
Altmetric has tracked 22,675,759 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 66 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.3. This one is in the 30th percentile – i.e., 30% 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 149,519 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.