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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Correlations between carotid plaque progression and mechanical stresses change sign over time: a patient follow up study using MRI and 3D FSI models
|
|---|---|
| Published in |
BioMedical Engineering OnLine, October 2013
|
| DOI | 10.1186/1475-925x-12-105 |
| Pubmed ID | |
| Authors |
Dalin Tang, Chun Yang, Gador Canton, Zheyang Wu, Thomas Hatsukami, Chun Yuan |
| Abstract |
Increasing evidence suggests that mechanisms governing advanced plaque progression may be different from those for early progression and require further investigation. Serial MRI data and 3D fluid-structure interaction (FSI) models were employed to identify possible correlations between mechanical stresses and advanced plaque progression measured by vessel wall thickness increase (WTI). Long-term patient follow up was used to gather data and investigate if the correlations identified above were reproducible. |
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 % |
|---|---|---|
| Unknown | 44 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 23% |
| Researcher | 4 | 9% |
| Student > Doctoral Student | 4 | 9% |
| Student > Master | 4 | 9% |
| Student > Bachelor | 3 | 7% |
| Other | 8 | 18% |
| Unknown | 11 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 16 | 36% |
| Medicine and Dentistry | 3 | 7% |
| Psychology | 3 | 7% |
| Mathematics | 2 | 5% |
| Business, Management and Accounting | 1 | 2% |
| Other | 6 | 14% |
| Unknown | 13 | 30% |
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 16 October 2013.
All research outputs
#20,656,161
of 25,373,627 outputs
Outputs from BioMedical Engineering OnLine
#607
of 867 outputs
Outputs of similar age
#169,197
of 224,132 outputs
Outputs of similar age from BioMedical Engineering OnLine
#12
of 21 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 867 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 15th percentile – i.e., 15% 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 224,132 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.