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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Cerebral Aneurysms Treated with Flow-Diverting Stents: Computational Models with Intravascular Blood Flow Measurements
|
|---|---|
| Published in |
American Journal of Neuroradiology, July 2013
|
| DOI | 10.3174/ajnr.a3624 |
| Pubmed ID | |
| Authors |
M.R. Levitt, P.M. McGah, A. Aliseda, P.D. Mourad, J.D. Nerva, S.S. Vaidya, R.P. Morton, B.V. Ghodke, L.J. Kim |
| Abstract |
Computational fluid dynamics modeling is useful in the study of the hemodynamic environment of cerebral aneurysms, but patient-specific measurements of boundary conditions, such as blood flow velocity and pressure, have not been previously applied to the study of flow-diverting stents. We integrated patient-specific intravascular blood flow velocity and pressure measurements into computational models of aneurysms before and after treatment with flow-diverting stents to determine stent effects on aneurysm hemodynamics. |
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 % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 2% |
| Netherlands | 1 | <1% |
| France | 1 | <1% |
| Canada | 1 | <1% |
| Spain | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 97 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 26 | 25% |
| Student > Ph. D. Student | 16 | 15% |
| Student > Master | 14 | 13% |
| Other | 10 | 10% |
| Student > Bachelor | 10 | 10% |
| Other | 15 | 14% |
| Unknown | 13 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 38 | 37% |
| Medicine and Dentistry | 26 | 25% |
| Neuroscience | 5 | 5% |
| Computer Science | 5 | 5% |
| Unspecified | 2 | 2% |
| Other | 8 | 8% |
| Unknown | 20 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 09 January 2024.
All research outputs
#3,212,372
of 23,335,153 outputs
Outputs from American Journal of Neuroradiology
#754
of 4,949 outputs
Outputs of similar age
#28,225
of 198,040 outputs
Outputs of similar age from American Journal of Neuroradiology
#10
of 131 outputs
Altmetric has tracked 23,335,153 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,949 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has done well, scoring higher than 84% 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 198,040 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 131 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.