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Temporality of Features in Near-Death Experience Narratives

Overview of attention for article published in Frontiers in Human Neuroscience, June 2017
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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 (98th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

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17 news outlets
blogs
3 blogs
twitter
57 X users
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5 Facebook pages
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2 Google+ users
reddit
2 Redditors
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1 YouTube creator

Citations

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34 Dimensions

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64 Mendeley
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Title
Temporality of Features in Near-Death Experience Narratives
Published in
Frontiers in Human Neuroscience, June 2017
DOI 10.3389/fnhum.2017.00311
Pubmed ID
Authors

Charlotte Martial, Héléna Cassol, Georgios Antonopoulos, Thomas Charlier, Julien Heros, Anne-Françoise Donneau, Vanessa Charland-Verville, Steven Laureys

Abstract

Background: After an occurrence of a Near-Death Experience (NDE), Near-Death Experiencers (NDErs) usually report extremely rich and detailed narratives. Phenomenologically, a NDE can be described as a set of distinguishable features. Some authors have proposed regular patterns of NDEs, however, the actual temporality sequence of NDE core features remains a little explored area. Objectives: The aim of the present study was to investigate the frequency distribution of these features (globally and according to the position of features in narratives) as well as the most frequently reported temporality sequences of features. Methods: We collected 154 French freely expressed written NDE narratives (i.e., Greyson NDE scale total score ≥ 7/32). A text analysis was conducted on all narratives in order to infer temporal ordering and frequency distribution of NDE features. Results: Our analyses highlighted the following most frequently reported sequence of consecutive NDE features: Out-of-Body Experience, Experiencing a tunnel, Seeing a bright light, Feeling of peace. Yet, this sequence was encountered in a very limited number of NDErs. Conclusion: These findings may suggest that NDEs temporality sequences can vary across NDErs. Exploring associations and relationships among features encountered during NDEs may complete the rigorous definition and scientific comprehension of the phenomenon.

X Demographics

X Demographics

The data shown below were collected from the profiles of 57 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 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 64 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 11 17%
Student > Ph. D. Student 10 16%
Researcher 8 13%
Student > Master 6 9%
Student > Doctoral Student 3 5%
Other 11 17%
Unknown 15 23%
Readers by discipline Count As %
Psychology 16 25%
Medicine and Dentistry 8 13%
Neuroscience 6 9%
Nursing and Health Professions 3 5%
Biochemistry, Genetics and Molecular Biology 3 5%
Other 8 13%
Unknown 20 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 201. 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 17 April 2024.
All research outputs
#198,715
of 25,701,027 outputs
Outputs from Frontiers in Human Neuroscience
#89
of 7,750 outputs
Outputs of similar age
#4,178
of 332,622 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#6
of 175 outputs
Altmetric has tracked 25,701,027 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,750 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has done particularly well, scoring higher than 98% 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 332,622 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 98% of its contemporaries.
We're also able to compare this research output to 175 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 96% of its contemporaries.