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Mendeley readers
Attention Score in Context
Title |
Effect of alcohol use on the course of bipolar disorder: one‐year follow‐up study using the daily prospective Life Chart method
|
---|---|
Published in |
Bipolar Disorders, March 2014
|
DOI | 10.1111/bdi.12191 |
Pubmed ID | |
Authors |
Jan van Zaane, Peter M van de Ven, Stasja Draisma, Johannes H Smit, Willem A Nolen, Wim van den Brink |
Abstract |
Relatively little is known about the temporal relationship between alcohol use and subsequent mood changes in patients with bipolar disorder, and the available findings are inconsistent. The present study was a fine-grained analysis of the temporal relationship between alcohol use and short-term mood-switching probabilities. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Malaysia | 1 | 2% |
United States | 1 | 2% |
Unknown | 50 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 10 | 19% |
Student > Ph. D. Student | 9 | 17% |
Student > Doctoral Student | 4 | 8% |
Student > Bachelor | 4 | 8% |
Other | 4 | 8% |
Other | 9 | 17% |
Unknown | 12 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 14 | 27% |
Medicine and Dentistry | 11 | 21% |
Social Sciences | 4 | 8% |
Agricultural and Biological Sciences | 1 | 2% |
Computer Science | 1 | 2% |
Other | 5 | 10% |
Unknown | 16 | 31% |
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 23 January 2015.
All research outputs
#21,938,746
of 24,477,448 outputs
Outputs from Bipolar Disorders
#1,081
of 1,161 outputs
Outputs of similar age
#199,568
of 229,404 outputs
Outputs of similar age from Bipolar Disorders
#14
of 16 outputs
Altmetric has tracked 24,477,448 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,161 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.7. This one is in the 1st percentile – i.e., 1% 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 229,404 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.