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X Demographics
Mendeley readers
Attention Score in Context
| Title |
miR-638 regulates gene expression networks associated with emphysematous lung destruction
|
|---|---|
| Published in |
Genome Medicine, December 2013
|
| DOI | 10.1186/gm519 |
| Pubmed ID | |
| Authors |
Stephanie A Christenson, Corry-Anke Brandsma, Joshua D Campbell, Darryl A Knight, Dmitri V Pechkovsky, James C Hogg, Wim Timens, Dirkje S Postma, Marc Lenburg, Avrum Spira |
| Abstract |
Chronic obstructive pulmonary disease (COPD) is a heterogeneous disease characterized by varying degrees of emphysematous lung destruction and small airway disease, each with distinct effects on clinical outcomes. There is little known about how microRNAs contribute specifically to the emphysema phenotype. We examined how genome-wide microRNA expression is altered with regional emphysema severity and how these microRNAs regulate disease-associated gene expression networks. |
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 % |
|---|---|---|
| Netherlands | 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 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 2% |
| India | 1 | 2% |
| Canada | 1 | 2% |
| Unknown | 46 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 20% |
| Researcher | 10 | 20% |
| Student > Master | 6 | 12% |
| Lecturer | 3 | 6% |
| Student > Bachelor | 2 | 4% |
| Other | 6 | 12% |
| Unknown | 12 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 11 | 22% |
| Biochemistry, Genetics and Molecular Biology | 11 | 22% |
| Medicine and Dentistry | 5 | 10% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 4% |
| Immunology and Microbiology | 2 | 4% |
| Other | 5 | 10% |
| Unknown | 13 | 27% |
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 30 January 2014.
All research outputs
#20,656,820
of 25,374,917 outputs
Outputs from Genome Medicine
#1,509
of 1,585 outputs
Outputs of similar age
#242,872
of 318,822 outputs
Outputs of similar age from Genome Medicine
#25
of 26 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,585 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.8. This one is in the 2nd percentile – i.e., 2% 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 318,822 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
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 is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.