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Mendeley readers
Attention Score in Context
Title |
3D facial landmarks: Inter-operator variability of manual annotation
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Published in |
BMC Medical Imaging, October 2014
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DOI | 10.1186/1471-2342-14-35 |
Pubmed ID | |
Authors |
Jens Fagertun, Stine Harder, Anders Rosengren, Christian Moeller, Thomas Werge, Rasmus R Paulsen, Thomas F Hansen |
Abstract |
Manual annotation of landmarks is a known source of variance, which exist in all fields of medical imaging, influencing the accuracy and interpretation of the results. However, the variability of human facial landmarks is only sparsely addressed in the current literature as opposed to e.g. the research fields of orthodontics and cephalometrics. We present a full facial 3D annotation procedure and a sparse set of manually annotated landmarks, in effort to reduce operator time and minimize the variance. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Brazil | 1 | 25% |
United States | 1 | 25% |
Unknown | 2 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 75% |
Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Denmark | 1 | 2% |
Unknown | 59 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 11 | 18% |
Student > Master | 11 | 18% |
Professor > Associate Professor | 4 | 7% |
Student > Bachelor | 4 | 7% |
Unspecified | 3 | 5% |
Other | 12 | 20% |
Unknown | 15 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 18 | 30% |
Engineering | 6 | 10% |
Agricultural and Biological Sciences | 5 | 8% |
Computer Science | 4 | 7% |
Unspecified | 3 | 5% |
Other | 8 | 13% |
Unknown | 16 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 14 May 2015.
All research outputs
#12,904,465
of 22,766,595 outputs
Outputs from BMC Medical Imaging
#129
of 594 outputs
Outputs of similar age
#115,902
of 256,089 outputs
Outputs of similar age from BMC Medical Imaging
#6
of 10 outputs
Altmetric has tracked 22,766,595 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 594 research outputs from this source. They receive a mean Attention Score of 2.1. This one has done well, scoring higher than 76% 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 256,089 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.