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Attention Score in Context
Title |
Analysis of carotid artery deformation in different head and neck positions for maxillofacial catheter navigation in advanced oral cancer treatment
|
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Published in |
BioMedical Engineering OnLine, September 2012
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DOI | 10.1186/1475-925x-11-65 |
Pubmed ID | |
Authors |
Takashi Ohya, Toshinori Iwai, Kuan Luan, Takashi Kato, Hongen Liao, Etsuko Kobayashi, Kenji Mitsudo, Nobukazu Fuwa, Ryuji Kohno, Ichiro Sakuma, Iwai Tohnai |
Abstract |
To improve the accuracy of catheter navigation, it is important to develop a method to predict shifts of carotid artery (CA) bifurcations caused by intraoperative deformation. An important factor affecting the accuracy of electromagnetic maxillofacial catheter navigation systems is CA deformations. We aimed to assess CA deformation in different head and neck positions. |
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 Kingdom | 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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 26 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 5 | 19% |
Student > Doctoral Student | 4 | 15% |
Student > Bachelor | 3 | 12% |
Student > Ph. D. Student | 3 | 12% |
Other | 2 | 8% |
Other | 3 | 12% |
Unknown | 6 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 9 | 35% |
Engineering | 8 | 31% |
Social Sciences | 1 | 4% |
Agricultural and Biological Sciences | 1 | 4% |
Unknown | 7 | 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 05 September 2012.
All research outputs
#22,758,309
of 25,371,288 outputs
Outputs from BioMedical Engineering OnLine
#733
of 867 outputs
Outputs of similar age
#168,479
of 187,095 outputs
Outputs of similar age from BioMedical Engineering OnLine
#24
of 26 outputs
Altmetric has tracked 25,371,288 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 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 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 187,095 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 26 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.