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Seasonal Distribution of Psychiatric Births in England

Overview of attention for article published in PLOS ONE, April 2012
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
12 news outlets
blogs
1 blog
twitter
13 X users
wikipedia
1 Wikipedia page
video
1 YouTube creator

Citations

dimensions_citation
46 Dimensions

Readers on

mendeley
65 Mendeley
citeulike
1 CiteULike
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Title
Seasonal Distribution of Psychiatric Births in England
Published in
PLOS ONE, April 2012
DOI 10.1371/journal.pone.0034866
Pubmed ID
Authors

Giulio Disanto, Julia M. Morahan, Melanie V. Lacey, Gabriele C. DeLuca, Gavin Giovannoni, George C. Ebers, Sreeram V. Ramagopalan

Abstract

There is general consensus that season of birth influences the risk of developing psychiatric conditions later in life. We aimed to investigate whether the risk of schizophrenia (SC), bipolar affective disorder (BAD) and recurrent depressive disorder (RDD) is influenced by month of birth in England to a similar extent as other countries using the largest cohort of English patients collected to date (n = 57,971). When cases were compared to the general English population (n = 29,183,034) all diseases showed a seasonal distribution of births (SC p = 2.48E-05; BAD p = 0.019; RDD p = 0.015). This data has implications for future strategies of disease prevention.

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Spain 1 2%
Unknown 62 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 20%
Student > Ph. D. Student 9 14%
Student > Master 9 14%
Professor 6 9%
Student > Bachelor 5 8%
Other 17 26%
Unknown 6 9%
Readers by discipline Count As %
Medicine and Dentistry 20 31%
Neuroscience 9 14%
Psychology 8 12%
Agricultural and Biological Sciences 6 9%
Social Sciences 3 5%
Other 9 14%
Unknown 10 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 113. 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 14 December 2023.
All research outputs
#380,794
of 25,895,862 outputs
Outputs from PLOS ONE
#5,383
of 225,837 outputs
Outputs of similar age
#1,624
of 174,336 outputs
Outputs of similar age from PLOS ONE
#71
of 3,716 outputs
Altmetric has tracked 25,895,862 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 225,837 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.9. This one has done particularly well, scoring higher than 97% 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 174,336 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 99% of its contemporaries.
We're also able to compare this research output to 3,716 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.