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Quantification of bone marrow lesion volume and volume change using semi-automated segmentation: data from the osteoarthritis initiative

Overview of attention for article published in BMC Musculoskeletal Disorders, January 2013
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Mentioned by

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1 Facebook page

Citations

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17 Dimensions

Readers on

mendeley
49 Mendeley
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1 CiteULike
Title
Quantification of bone marrow lesion volume and volume change using semi-automated segmentation: data from the osteoarthritis initiative
Published in
BMC Musculoskeletal Disorders, January 2013
DOI 10.1186/1471-2474-14-3
Pubmed ID
Authors

Jincheng Pang, Jeffrey B Driban, Geoffroy Destenaves, Eric Miller, Grace H Lo, Robert J Ward, Lori Lyn Price, John A Lynch, Charles B Eaton, Felix Eckstein, Timothy E McAlindon

Abstract

To determine the validity of a semi-automated segmentation of bone marrow lesions (BMLs) in the knee.

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 4%
Unknown 47 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 27%
Student > Master 11 22%
Student > Ph. D. Student 9 18%
Student > Bachelor 2 4%
Professor > Associate Professor 2 4%
Other 8 16%
Unknown 4 8%
Readers by discipline Count As %
Medicine and Dentistry 18 37%
Engineering 8 16%
Computer Science 4 8%
Nursing and Health Professions 4 8%
Agricultural and Biological Sciences 2 4%
Other 6 12%
Unknown 7 14%

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 04 January 2013.
All research outputs
#2,904,408
of 3,620,975 outputs
Outputs from BMC Musculoskeletal Disorders
#1,144
of 1,375 outputs
Outputs of similar age
#223,046
of 278,725 outputs
Outputs of similar age from BMC Musculoskeletal Disorders
#120
of 134 outputs
Altmetric has tracked 3,620,975 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 1,375 research outputs from this source. They receive a mean Attention Score of 3.4. 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 278,725 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 134 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.