| Title |
Microarray analysis of long non-coding RNAs in COPD lung tissue
|
|---|---|
| Published in |
Inflammation Research, December 2014
|
| DOI | 10.1007/s00011-014-0790-9 |
| Pubmed ID | |
| Authors |
Hui Bi, Ji Zhou, Dandan Wu, Wei Gao, Lingling Li, Like Yu, Feng Liu, Mao Huang, Ian M. Adcock, Peter J. Barnes, Xin Yao |
| Abstract |
Long noncoding RNAs (lncRNAs) play an important role in the pathogenesis of many human diseases. In this study, we provide the description of genome-wide lncRNA expression in the lung tissue of non-smokers without Chronic obstructive pulmonary disease (COPD), of smokers without COPD and of smokers with COPD. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 3% |
| Ireland | 1 | 3% |
| Unknown | 34 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 28% |
| Student > Ph. D. Student | 8 | 22% |
| Student > Master | 4 | 11% |
| Student > Bachelor | 3 | 8% |
| Other | 2 | 6% |
| Other | 2 | 6% |
| Unknown | 7 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 8 | 22% |
| Medicine and Dentistry | 8 | 22% |
| Agricultural and Biological Sciences | 6 | 17% |
| Chemistry | 2 | 6% |
| Economics, Econometrics and Finance | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 8 | 22% |
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 22 January 2015.
All research outputs
#15,315,142
of 22,778,347 outputs
Outputs from Inflammation Research
#618
of 954 outputs
Outputs of similar age
#208,818
of 353,024 outputs
Outputs of similar age from Inflammation Research
#7
of 11 outputs
Altmetric has tracked 22,778,347 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 954 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one is in the 29th percentile – i.e., 29% of its peers scored the same or lower than it.
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We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.