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Mendeley readers
Attention Score in Context
Title |
Identification of symptom clusters among patients with heart failure: An international observational study
|
---|---|
Published in |
International Journal of Nursing Studies, February 2014
|
DOI | 10.1016/j.ijnurstu.2014.02.004 |
Pubmed ID | |
Authors |
Debra K. Moser, Kyoung Suk Lee, Jia-Rong Wu, Gia Mudd-Martin, Tiny Jaarsma, Tsuey-Yuan Huang, Xui-Zhen Fan, Anna Strömberg, Terry A. Lennie, Barbara Riegel |
Abstract |
Virtually all patients with heart failure experience multiple symptoms simultaneously, yet clinicians and researchers usually consider symptoms in isolation. Recognizing and responding early to escalating symptoms is essential to preventing hospitalizations in heart failure, yet patients have considerable difficulty recognizing symptoms. Identification of symptom clusters could improve symptom recognition, but cultural differences may be present that must be considered. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 1 | 1% |
Switzerland | 1 | 1% |
Unknown | 97 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 18 | 18% |
Student > Master | 16 | 16% |
Researcher | 13 | 13% |
Student > Bachelor | 9 | 9% |
Professor | 5 | 5% |
Other | 11 | 11% |
Unknown | 27 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Nursing and Health Professions | 25 | 25% |
Medicine and Dentistry | 14 | 14% |
Psychology | 11 | 11% |
Social Sciences | 6 | 6% |
Computer Science | 4 | 4% |
Other | 8 | 8% |
Unknown | 31 | 31% |
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 01 September 2014.
All research outputs
#17,285,036
of 25,371,288 outputs
Outputs from International Journal of Nursing Studies
#2,076
of 2,585 outputs
Outputs of similar age
#142,593
of 235,662 outputs
Outputs of similar age from International Journal of Nursing Studies
#20
of 33 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 2,585 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.2. This one is in the 15th percentile – i.e., 15% 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 235,662 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.