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Antinuclear antibodies and their detection methods in diagnosis of connective tissue diseases: a journey revisited

Overview of attention for article published in Diagnostic Pathology, January 2009
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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 (#50 of 1,193)
  • High Attention Score compared to outputs of the same age (91st percentile)

Mentioned by

blogs
1 blog
policy
1 policy source
wikipedia
4 Wikipedia pages

Citations

dimensions_citation
127 Dimensions

Readers on

mendeley
311 Mendeley
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Title
Antinuclear antibodies and their detection methods in diagnosis of connective tissue diseases: a journey revisited
Published in
Diagnostic Pathology, January 2009
DOI 10.1186/1746-1596-4-1
Pubmed ID
Authors

Yashwant Kumar, Alka Bhatia, Ranjana Walker Minz

Abstract

It has been more than 50 years since antinuclear antibodies were first discovered and found to be associated with connective tissue diseases. Since then different methods have been described and used for their detection or confirmation. For many decades immunofluorescent antinuclear antibody test has been the "gold standard" in the diagnosis of these disorders. However to increase the sensitivity and specificity of antinuclear antibody detection further approaches were explored. Today a battery of newer techniques are available some of which are now considered better and are competing with the older methods. This article provides an overview on advancement in antinuclear antibody detection methods, their future prospects, advantages, disadvantages and guidelines for use of these tests.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 311 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 <1%
Germany 1 <1%
Ireland 1 <1%
Sweden 1 <1%
United Kingdom 1 <1%
Russia 1 <1%
Spain 1 <1%
United States 1 <1%
Unknown 303 97%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 58 19%
Student > Master 34 11%
Researcher 30 10%
Student > Postgraduate 28 9%
Other 22 7%
Other 69 22%
Unknown 70 23%
Readers by discipline Count As %
Medicine and Dentistry 101 32%
Agricultural and Biological Sciences 43 14%
Biochemistry, Genetics and Molecular Biology 35 11%
Immunology and Microbiology 27 9%
Nursing and Health Professions 8 3%
Other 20 6%
Unknown 77 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 03 November 2023.
All research outputs
#3,121,722
of 25,374,917 outputs
Outputs from Diagnostic Pathology
#50
of 1,193 outputs
Outputs of similar age
#14,925
of 183,454 outputs
Outputs of similar age from Diagnostic Pathology
#1
of 4 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,193 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 95% 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 183,454 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them