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Differential proteomic analysis of synovial fluid from rheumatoid arthritis and osteoarthritis patients

Overview of attention for article published in Clinical Proteomics, January 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#46 of 293)
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

twitter
1 X user
patent
4 patents
wikipedia
1 Wikipedia page

Citations

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113 Dimensions

Readers on

mendeley
114 Mendeley
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Title
Differential proteomic analysis of synovial fluid from rheumatoid arthritis and osteoarthritis patients
Published in
Clinical Proteomics, January 2014
DOI 10.1186/1559-0275-11-1
Pubmed ID
Authors

Lavanya Balakrishnan, Mitali Bhattacharjee, Sartaj Ahmad, Raja Sekhar Nirujogi, Santosh Renuse, Yashwanth Subbannayya, Arivusudar Marimuthu, Srinivas M Srikanth, Rajesh Raju, Mukesh Dhillon, Navjyot Kaur, Ramesh Jois, Vivek Vasudev, YL Ramachandra, Nandini A Sahasrabuddhe, TS Keshava Prasad, Sujatha Mohan, Harsha Gowda, Subramanian Shankar, Akhilesh Pandey

Abstract

Rheumatoid arthritis and osteoarthritis are two common musculoskeletal disorders that affect the joints. Despite high prevalence rates, etiological factors involved in these disorders remain largely unknown. Dissecting the molecular aspects of these disorders will significantly contribute to improving their diagnosis and clinical management. In order to identify proteins that are differentially expressed between these two conditions, a quantitative proteomic profiling of synovial fluid obtained from rheumatoid arthritis and osteoarthritis patients was carried out by using iTRAQ labeling followed by high resolution mass spectrometry analysis.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Philippines 1 <1%
Germany 1 <1%
Unknown 112 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 21%
Student > Ph. D. Student 20 18%
Student > Master 18 16%
Student > Bachelor 8 7%
Student > Doctoral Student 7 6%
Other 18 16%
Unknown 19 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 26 23%
Medicine and Dentistry 24 21%
Agricultural and Biological Sciences 15 13%
Immunology and Microbiology 5 4%
Engineering 5 4%
Other 14 12%
Unknown 25 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 02 April 2024.
All research outputs
#4,343,025
of 23,524,722 outputs
Outputs from Clinical Proteomics
#46
of 293 outputs
Outputs of similar age
#50,854
of 308,472 outputs
Outputs of similar age from Clinical Proteomics
#2
of 6 outputs
Altmetric has tracked 23,524,722 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 293 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done well, scoring higher than 84% 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 308,472 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 6 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.