↓ Skip to main content

TNF gene polymorphisms in cystic fibrosis patients: contribution to the disease progression

Overview of attention for article published in Journal of Translational Medicine, January 2013
Altmetric Badge

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
28 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
TNF gene polymorphisms in cystic fibrosis patients: contribution to the disease progression
Published in
Journal of Translational Medicine, January 2013
DOI 10.1186/1479-5876-11-19
Pubmed ID
Authors

Galina Shmarina, Alexander Pukhalsky, Nika Petrova, Ekaterina Zakharova, Lucine Avakian, Nikolai Kapranov, Vladimir Alioshkin

Abstract

It is well known that the disease progression in cystic fibrosis (CF) patients may be diverse in subjects with identical mutation in CFTR gene. It is quite possible that such heterogeneity is associated with TNF-α and/or LT-α gene polymorphisms since their products play a key role in inflammation. The aim of the study was to investigate the possible roles of TNF gene polymorphisms in CF disease phenotype and progression.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 4%
Bosnia and Herzegovina 1 4%
Australia 1 4%
Brazil 1 4%
Unknown 24 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 21%
Librarian 3 11%
Student > Master 3 11%
Student > Bachelor 2 7%
Professor 2 7%
Other 7 25%
Unknown 5 18%
Readers by discipline Count As %
Medicine and Dentistry 11 39%
Agricultural and Biological Sciences 6 21%
Biochemistry, Genetics and Molecular Biology 4 14%
Immunology and Microbiology 1 4%
Nursing and Health Professions 1 4%
Other 0 0%
Unknown 5 18%

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 10 August 2013.
All research outputs
#20,198,525
of 22,716,996 outputs
Outputs from Journal of Translational Medicine
#3,303
of 3,973 outputs
Outputs of similar age
#247,844
of 280,559 outputs
Outputs of similar age from Journal of Translational Medicine
#66
of 85 outputs
Altmetric has tracked 22,716,996 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 3,973 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. 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 280,559 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 85 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.