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How medical technologies shape the experience of illness

Overview of attention for article published in Life Sciences, Society and Policy, February 2018
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

Mentioned by

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8 X users
peer_reviews
1 peer review site

Citations

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30 Dimensions

Readers on

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96 Mendeley
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Title
How medical technologies shape the experience of illness
Published in
Life Sciences, Society and Policy, February 2018
DOI 10.1186/s40504-018-0069-y
Pubmed ID
Authors

Bjørn Hofmann, Fredrik Svenaeus

Abstract

In this article we explore how diagnostic and therapeutic technologies shape the lived experiences of illness for patients. By analysing a wide range of examples, we identify six ways that technology can (trans)form the experience of illness (and health). First, technology may create awareness of disease by revealing asymptomatic signs or markers (imaging techniques, blood tests). Second, the technology can reveal risk factors for developing diseases (e.g., high blood pressure or genetic tests that reveal risks of falling ill in the future). Third, the technology can affect and change an already present illness experience (e.g., the way blood sugar measurement affects the perceived symptoms of diabetes). Fourth, therapeutic technologies may redefine our experiences of a certain condition as diseased rather than unfortunate (e.g. assisted reproductive technologies or symptom based diagnoses in psychiatry). Fifth, technology influences illness experiences through altering social-cultural norms and values regarding various diagnoses. Sixth, technology influences and changes our experiences of being healthy in contrast and relation to being diseased and ill. This typology of how technology forms illness and related conditions calls for reflection regarding the phenomenology of technology and health. How are medical technologies and their outcomes perceived and understood by patients? The phenomenological way of approaching illness as a lived, bodily being-in-the-world is an important approach for better understanding and evaluating the effects that medical technologies may have on our health, not only in defining, diagnosing, or treating diseases, but also in making us feel more vulnerable and less healthy in different regards.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 96 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 19%
Student > Master 15 16%
Student > Bachelor 8 8%
Researcher 5 5%
Other 4 4%
Other 15 16%
Unknown 31 32%
Readers by discipline Count As %
Social Sciences 16 17%
Medicine and Dentistry 8 8%
Nursing and Health Professions 7 7%
Business, Management and Accounting 7 7%
Philosophy 6 6%
Other 20 21%
Unknown 32 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 22 April 2022.
All research outputs
#6,379,712
of 25,052,270 outputs
Outputs from Life Sciences, Society and Policy
#62
of 109 outputs
Outputs of similar age
#119,394
of 449,783 outputs
Outputs of similar age from Life Sciences, Society and Policy
#4
of 7 outputs
Altmetric has tracked 25,052,270 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 109 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.3. This one is in the 44th percentile – i.e., 44% 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 449,783 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 73% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.