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Long-term effects and psychological adjustment: study protocol of a large register-based study on quality of life among survivors of hematological malignancies

Overview of attention for article published in BMC Cancer, July 2017
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  • Above-average Attention Score compared to outputs of the same age (56th percentile)

Mentioned by

twitter
3 tweeters

Readers on

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37 Mendeley
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Title
Long-term effects and psychological adjustment: study protocol of a large register-based study on quality of life among survivors of hematological malignancies
Published in
BMC Cancer, July 2017
DOI 10.1186/s12885-017-3454-7
Pubmed ID
Authors

Peter Esser, Katharina Kuba, Heide Götze, Anja Mehnert

Abstract

Both incidence and survival rates of hematological cancers are increasing, leading to a growing number of survivors with specific late and long-term effects. However, relevant research in physical, psychological and social aspects of quality of life is scarce. Existing literature shows that a considerable number of cancer survivors report a relatively high quality of life despite a variety of adverse and persistent symptoms. To date, the reasons for this phenomenon as well as moderating and mediating factors are widely unknown. Given these research gaps, we aim to investigate the different domains of quality of life among long-term survivors of hematological cancers and to identify factors predicting high quality of life. This is a large cross-sectional study among hematological cancer survivors at a minimum of 3 years after diagnosis. We will collect 1000 survivors completing a set of self-report-questionnaires encompassing physical, psychological and social domains of quality of life. Participants are clustered in groups according to time since diagnosis and compared with each other. Furthermore, survivors will be compared with the general population. Factors predicting high quality of life will be identified via multiple regression analyses and structure equation modeling. Our study will help to inform health care providers about the specific long-term burden among survivors with hematological malignancies. Identification of factors predicting high quality of life will help to develop adequate intervention strategies to enhance well-being in hematological cancer survivors. Our methodological advantages including the large sample as well as the assessment of different domains of quality of life will ensure novel and robust results. A limitation of the study is the cross-sectional design.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 24%
Student > Postgraduate 4 11%
Student > Ph. D. Student 4 11%
Student > Bachelor 3 8%
Other 2 5%
Other 7 19%
Unknown 8 22%
Readers by discipline Count As %
Nursing and Health Professions 10 27%
Psychology 9 24%
Medicine and Dentistry 3 8%
Social Sciences 2 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 4 11%
Unknown 8 22%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 16 August 2017.
All research outputs
#8,515,261
of 15,921,004 outputs
Outputs from BMC Cancer
#1,923
of 5,907 outputs
Outputs of similar age
#113,787
of 267,388 outputs
Outputs of similar age from BMC Cancer
#1
of 1 outputs
Altmetric has tracked 15,921,004 research outputs across all sources so far. This one is in the 46th percentile – i.e., 46% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,907 research outputs from this source. They receive a mean Attention Score of 4.1. This one has gotten more attention than average, scoring higher than 67% 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 267,388 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them