You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Timeline
Attention over time
Attention Score history
Activity
X Demographics
Mendeley demographics
Login to view Mendeley reader trends over time.
Attention Score in Context
| Title |
A chemical shift encoding (CSE) approach for spectral selection in fluorine‐19 MRI
|
|---|---|
| Published in |
Magnetic Resonance in Medicine, August 2017
|
| DOI | 10.1002/mrm.26874 |
| Pubmed ID | |
| Authors | |
| Abstract |
To develop a chemical shift encoding (CSE) approach for fluorine-19 MRI of perfluorocarbons in the presence of multiple known fluorinated chemical species. A multi-echo CSE technique is applied for spectral separation of the perfluorocarbon perfluoro-15-crown-5-ether (PFCE) and isoflurane (ISO) based on their chemical shifts at 4.7 T. Cramér-Rao lower bound analysis is used to identify echo combinations with optimal signal-to-noise performance. Signal contributions are fit with a multispectral fluorine signal model using a non-linear least squares estimation reconstruction directly from k-space data. This CSE approach is tested in fluorine-19 phantoms and in a mouse with a 2D and 3D spoiled gradient-echo acquisition using multiple echo times determined from Cramér-Rao lower bound analysis. Cramér-Rao lower bound analysis for PFCE and ISO separation shows signal-to-noise performance is maximized with a 0.33 ms echo separation. A linear behavior (R(2) = 0.987) between PFCE signal and known relative PFCE volume is observed in CSE reconstructed images using a mixed PFCE/ISO phantom. Effective spatial and spectral separation of PFCE and ISO is shown in phantoms and in vivo. Feasibility of a gradient-echo CSE acquisition and image reconstruction approach with optimized noise performance is demonstrated through fluorine-19 MRI of PFCE with effective removal of ISO signal contributions. Magn Reson Med, 2017. © 2017 International Society for Magnetic Resonance in Medicine. |
Login to access the Attention Digest and the Sentiment Analysis related to this output.
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 demographics
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 32% |
| Researcher | 5 | 20% |
| Student > Doctoral Student | 3 | 12% |
| Student > Master | 2 | 8% |
| Other | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 6 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 5 | 20% |
| Physics and Astronomy | 3 | 12% |
| Medicine and Dentistry | 3 | 12% |
| Agricultural and Biological Sciences | 2 | 8% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Other | 3 | 12% |
| Unknown | 8 | 32% |
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 24 August 2017.
All research outputs
#20,444,703
of 22,999,744 outputs
Outputs from Magnetic Resonance in Medicine
#6,068
of 6,846 outputs
Outputs of similar age
#277,223
of 317,366 outputs
Outputs of similar age from Magnetic Resonance in Medicine
#70
of 107 outputs
Altmetric has tracked 22,999,744 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,846 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 1st percentile – i.e., 1% 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 317,366 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 107 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.