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Automated craniofacial landmarks detection on 3D image using geometry characteristics information

Overview of attention for article published in BMC Bioinformatics, February 2019
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Mentioned by

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1 tweeter

Citations

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5 Dimensions

Readers on

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31 Mendeley
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Title
Automated craniofacial landmarks detection on 3D image using geometry characteristics information
Published in
BMC Bioinformatics, February 2019
DOI 10.1186/s12859-018-2548-9
Pubmed ID
Authors

Arpah Abu, Chee Guan Ngo, Nur Idayu Adira Abu-Hassan, Siti Adibah Othman

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 16%
Student > Master 5 16%
Lecturer 3 10%
Other 3 10%
Researcher 3 10%
Other 9 29%
Unknown 3 10%
Readers by discipline Count As %
Medicine and Dentistry 11 35%
Engineering 8 26%
Nursing and Health Professions 2 6%
Social Sciences 1 3%
Computer Science 1 3%
Other 2 6%
Unknown 6 19%

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 February 2019.
All research outputs
#12,595,062
of 14,249,108 outputs
Outputs from BMC Bioinformatics
#4,934
of 5,369 outputs
Outputs of similar age
#271,216
of 321,757 outputs
Outputs of similar age from BMC Bioinformatics
#35
of 41 outputs
Altmetric has tracked 14,249,108 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 5,369 research outputs from this source. They receive a mean Attention Score of 4.9. 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 321,757 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 41 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.