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Mendeley readers
Attention Score in Context
| Title |
Artifact quantification and tractography from 3T MRI after placement of aneurysm clips in subarachnoid hemorrhage patients
|
|---|---|
| Published in |
BMC Medical Imaging, October 2011
|
| DOI | 10.1186/1471-2342-11-19 |
| Pubmed ID | |
| Authors |
Faraz Khursheed, Fiona Rohlffs, Shuichi Suzuki, Dong H Kim, Timothy M Ellmore |
| Abstract |
The application of advanced 3T MRI imaging techniques to study recovery after subarachnoid hemorrhage (SAH) is complicated by the presence of image artifacts produced by implanted aneurysm clips. To characterize the effect of these artifacts on image quality, we sought to: 1) quantify extent of image artifact in SAH patients with implanted aneurysm clips across a range of MR sequences typically used in studies of volumetry, blood oxygen level dependent signal change (BOLD-fMRI), and diffusion-weighted imaging (DW-MRI) and 2) to explore the ability to reconstruct white matter pathways in these patients. |
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 % |
|---|---|---|
| Mexico | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 2% |
| United States | 1 | 2% |
| Poland | 1 | 2% |
| Australia | 1 | 2% |
| Unknown | 40 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 18% |
| Student > Ph. D. Student | 6 | 14% |
| Professor > Associate Professor | 5 | 11% |
| Student > Doctoral Student | 3 | 7% |
| Student > Bachelor | 3 | 7% |
| Other | 11 | 25% |
| Unknown | 8 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 16 | 36% |
| Neuroscience | 6 | 14% |
| Engineering | 4 | 9% |
| Agricultural and Biological Sciences | 2 | 5% |
| Social Sciences | 1 | 2% |
| Other | 3 | 7% |
| Unknown | 12 | 27% |
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 06 October 2011.
All research outputs
#18,297,449
of 22,653,392 outputs
Outputs from BMC Medical Imaging
#360
of 588 outputs
Outputs of similar age
#110,391
of 132,872 outputs
Outputs of similar age from BMC Medical Imaging
#3
of 4 outputs
Altmetric has tracked 22,653,392 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 588 research outputs from this source. They receive a mean Attention Score of 2.1. This one is in the 24th percentile – i.e., 24% 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 132,872 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.