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Use of Recurrence Quantification Analysis to Examine Associations Between Changes in Text Structure Across an Expressive Writing Intervention and Reductions in Distress Symptoms in Women With Breast…

Overview of attention for article published in Frontiers in Applied Mathematics and Statistics, July 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#24 of 356)
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

blogs
1 blog
twitter
2 X users

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
23 Mendeley
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Title
Use of Recurrence Quantification Analysis to Examine Associations Between Changes in Text Structure Across an Expressive Writing Intervention and Reductions in Distress Symptoms in Women With Breast Cancer
Published in
Frontiers in Applied Mathematics and Statistics, July 2019
DOI 10.3389/fams.2019.00037
Authors

Marlene Skovgaard Lyby, Mimi Mehlsen, Anders Bonde Jensen, Dana Howard Bovbjerg, Johanne S. Philipsen, Sebastian Wallot

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 22%
Other 2 9%
Lecturer 2 9%
Professor 2 9%
Student > Master 2 9%
Other 3 13%
Unknown 7 30%
Readers by discipline Count As %
Nursing and Health Professions 5 22%
Engineering 3 13%
Psychology 2 9%
Neuroscience 2 9%
Business, Management and Accounting 1 4%
Other 1 4%
Unknown 9 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 18 January 2023.
All research outputs
#3,890,197
of 23,565,002 outputs
Outputs from Frontiers in Applied Mathematics and Statistics
#24
of 356 outputs
Outputs of similar age
#76,301
of 347,424 outputs
Outputs of similar age from Frontiers in Applied Mathematics and Statistics
#3
of 16 outputs
Altmetric has tracked 23,565,002 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 356 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done particularly well, scoring higher than 93% 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 347,424 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
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 has done well, scoring higher than 81% of its contemporaries.