| Title |
MicroRNA and mRNA expression profiling in rat acute respiratory distress syndrome
|
|---|---|
| Published in |
BMC Medical Genomics, July 2014
|
| DOI | 10.1186/1755-8794-7-46 |
| Pubmed ID | |
| Authors |
Chaoqun Huang, Xiao, Narendranath Reddy Chintagari, Melanie Breshears, Yang Wang, Lin Liu |
| Abstract |
Acute respiratory distress syndrome (ARDS) is characterized by pulmonary epithelial injury and extensive inflammation of the pulmonary parenchyma. Systematic analyses of microRNA (miRNA) and mRNA expression profiling in ARDS provide insights into understanding of molecular mechanisms of the pathogenesis of ARDS. The objective of this study was to identify miRNA and mRNA interactions in a rat model of ARDS by combining miRNA and mRNA microarray analyses. |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 3% |
| Germany | 1 | 3% |
| Unknown | 30 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 22% |
| Student > Master | 5 | 16% |
| Student > Bachelor | 3 | 9% |
| Student > Ph. D. Student | 3 | 9% |
| Student > Doctoral Student | 2 | 6% |
| Other | 4 | 13% |
| Unknown | 8 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 25% |
| Agricultural and Biological Sciences | 7 | 22% |
| Biochemistry, Genetics and Molecular Biology | 4 | 13% |
| Nursing and Health Professions | 1 | 3% |
| Environmental Science | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 9 | 28% |
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 27 January 2016.
All research outputs
#6,410,128
of 22,775,504 outputs
Outputs from BMC Medical Genomics
#291
of 1,222 outputs
Outputs of similar age
#60,647
of 228,723 outputs
Outputs of similar age from BMC Medical Genomics
#5
of 14 outputs
Altmetric has tracked 22,775,504 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 1,222 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 75% 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 228,723 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 72% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.