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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Ultrasound entropy may be a new non-invasive measure of pre-clinical vascular damage in young hypertensive patients
|
|---|---|
| Published in |
Cardiovascular Ultrasound, March 2015
|
| DOI | 10.1186/s12947-015-0006-7 |
| Pubmed ID | |
| Authors |
Caroline Bleakley, Aaron McCann, Vivienne McClenaghan, Paul Kevin Hamilton, Auleen Millar, Richard Pumb, Mark Harbinson, Gary Eugene McVeigh |
| Abstract |
The identification of pre-clinical microvascular damage in hypertension by non-invasive techniques has proved frustrating for clinicians. This proof of concept study investigated whether entropy, a novel summary measure for characterizing blood velocity waveforms, is altered in participants with hypertension and may therefore be useful in risk stratification. Doppler ultrasound waveforms were obtained from the carotid and retrobulbar circulation in 42 participants with uncomplicated grade 1 hypertension (mean systolic/diastolic blood pressure (BP) 142/92 mmHg), and 26 healthy controls (mean systolic/diastolic BP 116/69 mmHg). Mean wavelet entropy was derived from flow-velocity data and compared with traditional haemodynamic measures of microvascular function, namely the resistive and pulsatility indices. Entropy, was significantly higher in control participants in the central retinal artery (CRA) (differential mean 0.11 (standard error 0.05 cms(-1)), CI 0.009 to 0.219, p 0.017) and ophthalmic artery (0.12 (0.05), CI 0.004 to 0.215, p 0.04). In comparison, the resistive index (0.12 (0.05), CI 0.005 to 0.226, p 0.029) and pulsatility index (0.96 (0.38), CI 0.19 to 1.72, p 0.015) showed significant differences between groups in the CRA alone. Regression analysis indicated that entropy was significantly influenced by age and systolic blood pressure (r values 0.4-0.6). None of the measures were significantly altered in the larger conduit vessel. This is the first application of entropy to human blood velocity waveform analysis and shows that this new technique has the ability to discriminate health from early hypertensive disease, thereby promoting the early identification of cardiovascular disease in a young hypertensive population. Clinical Trials.gov, NCT01047423. |
X Demographics
The data shown below were collected from the profiles of 3 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 States | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 3 | 17% |
| Student > Doctoral Student | 2 | 11% |
| Professor | 2 | 11% |
| Student > Ph. D. Student | 2 | 11% |
| Student > Postgraduate | 2 | 11% |
| Other | 1 | 6% |
| Unknown | 6 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 5 | 28% |
| Medicine and Dentistry | 3 | 17% |
| Sports and Recreations | 1 | 6% |
| Materials Science | 1 | 6% |
| Nursing and Health Professions | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 7 | 39% |
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 25 March 2015.
All research outputs
#12,919,961
of 22,796,179 outputs
Outputs from Cardiovascular Ultrasound
#112
of 310 outputs
Outputs of similar age
#119,899
of 262,958 outputs
Outputs of similar age from Cardiovascular Ultrasound
#9
of 16 outputs
Altmetric has tracked 22,796,179 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 310 research outputs from this source. They receive a mean Attention Score of 4.4. This one has gotten more attention than average, scoring higher than 61% 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 262,958 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 53% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.