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The effect of manipulated information about premenstrual changes on the report of positive and negative premenstrual changes

Overview of attention for article published in Women & Health, November 2016
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Title
The effect of manipulated information about premenstrual changes on the report of positive and negative premenstrual changes
Published in
Women & Health, November 2016
DOI 10.1080/03630242.2016.1263274
Pubmed ID
Authors

Johanna N. Kues, Carolyn Janda, Clara Krzikalla, Gerhard Andersson, Cornelia Weise

Abstract

Although women predominantly report negative premenstrual changes, a substantial portion of women also reports positive changes. Little is known about factors related to report of positive and negative premenstrual changes. The aim of this experimental study at the [deleted for blind review process] from January and February 2015 was to investigate the effect of manipulated information about premenstrual changes on the retrospective report of premenstrual changes. A total of 241 healthy women were randomly assigned either to a experimental group (EG) reading: (1) text focusing on negative and positive premenstrual changes (EG1 (±)), (2) text focusing on negative changes (EG2 (-)), or (3) control group (CG) text. At least one positive premenstrual change was reported by the majority of the participating women. The results of the MANOVA and discriminant analysis showed that, after having read the text, EG2 (-) reported more negative and fewer positive premenstrual changes in a retrospective screening compared to EG1 (+/-) and CG. No significant difference was observed between EG1 (+/-) and CG. The results show the negative influence of information focusing on negative premenstrual changes on the retrospective report of both negative and positive premenstrual changes.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 16%
Student > Bachelor 4 11%
Student > Doctoral Student 3 8%
Professor 3 8%
Other 2 5%
Other 6 16%
Unknown 14 37%
Readers by discipline Count As %
Psychology 9 24%
Nursing and Health Professions 4 11%
Social Sciences 4 11%
Medicine and Dentistry 3 8%
Business, Management and Accounting 1 3%
Other 2 5%
Unknown 15 39%
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 03 February 2017.
All research outputs
#17,285,036
of 25,371,288 outputs
Outputs from Women & Health
#565
of 785 outputs
Outputs of similar age
#261,866
of 417,080 outputs
Outputs of similar age from Women & Health
#3
of 5 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 785 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.0. This one is in the 17th percentile – i.e., 17% 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 417,080 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.