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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Relationship between resting heart rate and metabolic risk factors in breast cancer patients
|
|---|---|
| Published in |
Clinica Chimica Acta, July 2018
|
| DOI | 10.1016/j.cca.2018.07.032 |
| Pubmed ID | |
| Authors |
Mi Kyung Lee, Dong Hoon Lee, Seho Park, Seung Il Kim, Justin Y Jeon |
| Abstract |
Higher resting heart rate (RHR) was associated with poor prognosis in breast cancer survivors, but the mechanism underlying such association has not been fully studied. We investigated the association between RHR and metabolic risk factors in stage I-III breast cancer survivors. Among 11,013 women diagnosed with breast cancer between 2005 and 2013 at the Severance hospital in Seoul, Korea, a total of 4980 patients met our inclusion criteria for the final analysis. Multivariable linear regressions were used to examine the association between RHR and metabolic risk factors, including systolic blood pressure (SBP), diastolic blood pressure (DBP), glucose, triglyceride (TG), total cholesterol, high density lipid cholesterol (HDLC), and low density lipid cholesterol. The results showed that RHR had significant linear associations with SBP (p = .02), DBP (p < .001), TG (p < .001), glucose (p < .001), and HDL-C (p < .001). Compared to participants in the lowest quintile of RHR (<68 beat per min (bpm)), participants in the highest quintile (≥85 bpm) had higher DBP by 4 mmHg, TG by 13 mg/dl, and glucose by 5 mg/dl after adjusting for potential confounders. Further subgroup analyses showed that the association of RHR may differ by age and menopausal status for fasting glucose and cancer stage, chemotherapy, estrogen and progesterone receptor status for TG. We observed a strong positive association of RHR with fasting glucose, TG, and DBP in breast cancer survivors, which may potentially explain the association between RHR and breast cancer prognosis. |
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 % |
|---|---|---|
| Spain | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 52 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 12% |
| Student > Master | 4 | 8% |
| Student > Doctoral Student | 3 | 6% |
| Student > Bachelor | 3 | 6% |
| Researcher | 3 | 6% |
| Other | 8 | 15% |
| Unknown | 25 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Sports and Recreations | 7 | 13% |
| Nursing and Health Professions | 5 | 10% |
| Medicine and Dentistry | 5 | 10% |
| Unspecified | 2 | 4% |
| Engineering | 2 | 4% |
| Other | 7 | 13% |
| Unknown | 24 | 46% |
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 17 September 2018.
All research outputs
#20,663,600
of 25,385,509 outputs
Outputs from Clinica Chimica Acta
#3,557
of 4,795 outputs
Outputs of similar age
#264,720
of 340,475 outputs
Outputs of similar age from Clinica Chimica Acta
#26
of 62 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,795 research outputs from this source. They receive a mean Attention Score of 3.8. 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 340,475 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.