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Mendeley readers
Attention Score in Context
| Title |
Direct strain estimation in elastography using spectral cross-correlation
|
|---|---|
| Published in |
Ultrasound in Medicine & Biology, November 2000
|
| DOI | 10.1016/s0301-5629(00)00316-1 |
| Pubmed ID | |
| Authors |
T. Varghese, E.E. Konofagou, J. Ophir, S.K. Alam, M. Bilgen |
| Abstract |
Spectral estimation of tissue strain has been performed previously by using the centroid shift of the power spectrum or by estimating the variation in the mean scatterer spacing in the spectral domain. The centroid shift method illustrates the robustness of the direct, incoherent strain estimator. In this paper, we present a strain estimator that uses spectral cross-correlation of the pre- and postcompression power spectrum. The centroid shift estimator estimates strain from the mean center frequency shift, while the spectral cross-correlation estimates the shift over the entire spectrum. Spectral cross-correlation is shown to be more sensitive to small shifts in the power spectrum and, thus, provides better estimation for smaller strains when compared to the spectral centroid shift. Spectral cross-correlation shares all the advantages gained using the spectral centroid shift, in addition to providing accurate and precise strain estimation for small strains. The variance and noise properties of the spectral strain estimators quantified by their respective strain filters are also presented. |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 4% |
| Russia | 1 | 2% |
| Singapore | 1 | 2% |
| Canada | 1 | 2% |
| Unknown | 47 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 38% |
| Researcher | 7 | 13% |
| Professor > Associate Professor | 6 | 12% |
| Professor | 5 | 10% |
| Student > Doctoral Student | 3 | 6% |
| Other | 8 | 15% |
| Unknown | 3 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 26 | 50% |
| Physics and Astronomy | 8 | 15% |
| Medicine and Dentistry | 3 | 6% |
| Computer Science | 2 | 4% |
| Earth and Planetary Sciences | 1 | 2% |
| Other | 3 | 6% |
| Unknown | 9 | 17% |
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 10 January 2023.
All research outputs
#8,535,684
of 25,374,917 outputs
Outputs from Ultrasound in Medicine & Biology
#772
of 2,570 outputs
Outputs of similar age
#13,810
of 41,046 outputs
Outputs of similar age from Ultrasound in Medicine & Biology
#4
of 10 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,570 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 30th percentile – i.e., 30% 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 41,046 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.