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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genetic interaction of GSH metabolic pathway genes in cystic fibrosis
|
|---|---|
| Published in |
BMC Medical Genomics, June 2013
|
| DOI | 10.1186/1471-2350-14-60 |
| Pubmed ID | |
| Authors |
Fernando Augusto de Lima Marson, Carmen Sílvia Bertuzzo, Rodrigo Secolin, Antônio Fernando Ribeiro, José Dirceu Ribeiro |
| Abstract |
Cystic fibrosis (CF) is a monogenic disease caused by CFTR gene mutations, with clinical expression similar to complex disease, influenced by genetic and environmental factors. Among the possible modifier genes, those associated to metabolic pathways of glutathione (GSH) have been considered as potential modulators of CF clinical severity. In this way it is of pivotal importance investigate gene polymorphisms at Glutamate-Cysteine Ligase, Catalytic Subunit (GCLC), Glutathione S-transferase Mu 1 (GSTM1), Glutathione S-transferase Theta 1 (GSTT1), and Glutathione S-transferase P1 (GSTP1), which have been associated to the GSH metabolic pathway and CF clinical severity. |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 7 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 86% |
| Practitioners (doctors, other healthcare professionals) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 4% |
| Colombia | 1 | 2% |
| South Africa | 1 | 2% |
| Brazil | 1 | 2% |
| Unknown | 50 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 20% |
| Student > Ph. D. Student | 10 | 18% |
| Student > Bachelor | 7 | 13% |
| Student > Master | 4 | 7% |
| Other | 3 | 5% |
| Other | 7 | 13% |
| Unknown | 13 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 14 | 25% |
| Medicine and Dentistry | 8 | 15% |
| Biochemistry, Genetics and Molecular Biology | 8 | 15% |
| Nursing and Health Professions | 3 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 4% |
| Other | 5 | 9% |
| Unknown | 15 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 28 August 2013.
All research outputs
#7,778,730
of 25,374,647 outputs
Outputs from BMC Medical Genomics
#538
of 2,444 outputs
Outputs of similar age
#63,322
of 209,926 outputs
Outputs of similar age from BMC Medical Genomics
#5
of 26 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 2,444 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done well, scoring higher than 77% 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 209,926 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.