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Predicting recurrence of depression using lifelog data: an explanatory feasibility study with a panel VAR approach

Overview of attention for article published in BMC Psychiatry, December 2019
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Mentioned by

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1 Facebook page

Citations

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13 Dimensions

Readers on

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73 Mendeley
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Title
Predicting recurrence of depression using lifelog data: an explanatory feasibility study with a panel VAR approach
Published in
BMC Psychiatry, December 2019
DOI 10.1186/s12888-019-2382-2
Pubmed ID
Authors

Narimasa Kumagai, Aran Tajika, Akio Hasegawa, Nao Kawanishi, Masaru Horikoshi, Shinji Shimodera, Ken’ichi Kurata, Bun Chino, Toshi A. Furukawa

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 73 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 14%
Student > Master 10 14%
Student > Bachelor 7 10%
Researcher 5 7%
Student > Doctoral Student 2 3%
Other 7 10%
Unknown 32 44%
Readers by discipline Count As %
Psychology 9 12%
Medicine and Dentistry 6 8%
Computer Science 4 5%
Pharmacology, Toxicology and Pharmaceutical Science 4 5%
Social Sciences 3 4%
Other 11 15%
Unknown 36 49%
Attention Score in Context

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 11 December 2019.
All research outputs
#20,594,080
of 23,179,757 outputs
Outputs from BMC Psychiatry
#4,305
of 4,783 outputs
Outputs of similar age
#384,158
of 459,423 outputs
Outputs of similar age from BMC Psychiatry
#101
of 130 outputs
Altmetric has tracked 23,179,757 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 4,783 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.1. 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 459,423 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 130 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.