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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Biomarker profiling for risk of future heart failure (HFpEF) development
|
|---|---|
| Published in |
Journal of Translational Medicine, February 2021
|
| DOI | 10.1186/s12967-021-02735-3 |
| Pubmed ID | |
| Authors |
Chris J. Watson, Joe Gallagher, Mark Wilkinson, Adam Russell-Hallinan, Isaac Tea, Stephanie James, James O’Reilly, Eoin O’Connell, Shuaiwei Zhou, Mark Ledwidge, Ken McDonald |
| Abstract |
The purpose of this study was to investigate the utility of BNP, hsTroponin-I, interleukin-6, sST2, and galectin-3 in predicting the future development of new onset heart failure with preserved ejection fraction (HFpEF) in asymptomatic patients at-risk for HF. This is a retrospective analysis of the longitudinal STOP-HF study of thirty patients who developed HFpEF matched to a cohort that did not develop HFpEF (n = 60) over a similar time period. Biomarker candidates were quantified at two time points prior to initial HFpEF diagnosis. HsTroponin-I and BNP at baseline and follow-up were statistically significant predictors of future new onset HFpEF, as was galectin-3 at follow-up and concentration change over time. Interleukin-6 and sST2 were not predictive of future development of new onset HFpEF in this study. Unadjusted biomarker combinations of hsTroponin-I, BNP, and galectin-3 could significantly predict future HFpEF using both baseline (AUC 0.82 [0.73,0.92]) and follow-up data (AUC 0.86 [0.79,0.94]). A relative-risk matrix was developed to categorize the relative-risk of new onset of HFpEF based on biomarker threshold levels. We provided evidence for the utility of BNP, hsTroponin-I, and Galectin-3 in the prediction of future HFpEF in asymptomatic event-free populations with cardiovascular disease risk factors. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
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 > Bachelor | 9 | 24% |
| Researcher | 6 | 16% |
| Student > Ph. D. Student | 4 | 11% |
| Other | 3 | 8% |
| Student > Postgraduate | 2 | 5% |
| Other | 4 | 11% |
| Unknown | 9 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 15 | 41% |
| Biochemistry, Genetics and Molecular Biology | 5 | 14% |
| Unspecified | 1 | 3% |
| Agricultural and Biological Sciences | 1 | 3% |
| Nursing and Health Professions | 1 | 3% |
| Other | 2 | 5% |
| Unknown | 12 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 09 December 2021.
All research outputs
#7,023,841
of 24,892,887 outputs
Outputs from Journal of Translational Medicine
#1,130
of 4,505 outputs
Outputs of similar age
#169,291
of 526,097 outputs
Outputs of similar age from Journal of Translational Medicine
#23
of 86 outputs
Altmetric has tracked 24,892,887 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 4,505 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one has gotten more attention than average, scoring higher than 74% 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 526,097 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 67% of its contemporaries.
We're also able to compare this research output to 86 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.