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Mendeley readers
Attention Score in Context
Title |
Characterization and quantification of angiogenesis in rheumatoid arthritis in a mouse model using μCT
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Published in |
BMC Musculoskeletal Disorders, September 2014
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DOI | 10.1186/1471-2474-15-298 |
Pubmed ID | |
Authors |
Svitlana Gayetskyy, Oleg Museyko, Johannes Käßer, Andreas Hess, Georg Schett, Klaus Engelke |
Abstract |
Angiogenesis is an important pathophysiological process of chronic inflammation, especially in inflammatory arthritis. Quantitative measurement of changes in vascularization may improve the diagnosis and monitoring of arthritis. The aim of this work is the development of a 3D imaging and analysis framework for quantification of vascularization in experimental arthritis. |
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 % |
---|---|---|
Germany | 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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 3% |
Unknown | 34 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 7 | 20% |
Student > Master | 6 | 17% |
Student > Bachelor | 5 | 14% |
Student > Doctoral Student | 3 | 9% |
Student > Ph. D. Student | 2 | 6% |
Other | 5 | 14% |
Unknown | 7 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 8 | 23% |
Engineering | 3 | 9% |
Nursing and Health Professions | 3 | 9% |
Agricultural and Biological Sciences | 2 | 6% |
Computer Science | 2 | 6% |
Other | 5 | 14% |
Unknown | 12 | 34% |
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 September 2014.
All research outputs
#18,378,085
of 22,763,032 outputs
Outputs from BMC Musculoskeletal Disorders
#3,123
of 4,037 outputs
Outputs of similar age
#170,234
of 238,865 outputs
Outputs of similar age from BMC Musculoskeletal Disorders
#82
of 97 outputs
Altmetric has tracked 22,763,032 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,037 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 10th percentile – i.e., 10% 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 238,865 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 97 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.