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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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1 Facebook page

Citations

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25 Dimensions

Readers on

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74 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

Mendeley readers

The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 3%
Unknown 72 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 23%
Student > Master 15 20%
Student > Ph. D. Student 9 12%
Other 4 5%
Professor 4 5%
Other 11 15%
Unknown 14 19%
Readers by discipline Count As %
Medicine and Dentistry 22 30%
Engineering 11 15%
Computer Science 6 8%
Nursing and Health Professions 4 5%
Mathematics 3 4%
Other 8 11%
Unknown 20 27%
Attention Score in Context

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
#20,178,031
of 22,691,736 outputs
Outputs from BMC Musculoskeletal Disorders
#3,610
of 4,027 outputs
Outputs of similar age
#248,711
of 280,689 outputs
Outputs of similar age from BMC Musculoskeletal Disorders
#89
of 104 outputs
Altmetric has tracked 22,691,736 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 4,027 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. 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 280,689 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 104 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.