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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Micro-RNAs in regenerating lungs: an integrative systems biology analysis of murine influenza pneumonia
|
|---|---|
| Published in |
BMC Genomics, July 2014
|
| DOI | 10.1186/1471-2164-15-587 |
| Pubmed ID | |
| Authors |
Kai Sen Tan, Hyungwon Choi, Xiaoou Jiang, Lu Yin, Ju Ee Seet, Volker Patzel, Bevin P Engelward, Vincent T Chow |
| Abstract |
Tissue regeneration in the lungs is gaining increasing interest as a potential influenza management strategy. In this study, we explored the role of microRNAs, short non-coding RNAs involved in post-transcriptional regulation, during pulmonary regeneration after influenza infection. |
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% |
| France | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 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 % |
|---|---|---|
| Singapore | 1 | 3% |
| Brazil | 1 | 3% |
| Unknown | 34 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 28% |
| Student > Ph. D. Student | 10 | 28% |
| Other | 3 | 8% |
| Student > Doctoral Student | 2 | 6% |
| Professor > Associate Professor | 2 | 6% |
| Other | 3 | 8% |
| Unknown | 6 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 10 | 28% |
| Biochemistry, Genetics and Molecular Biology | 8 | 22% |
| Immunology and Microbiology | 5 | 14% |
| Medicine and Dentistry | 3 | 8% |
| Environmental Science | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 7 | 19% |
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 12 July 2014.
All research outputs
#17,723,043
of 22,758,248 outputs
Outputs from BMC Genomics
#7,548
of 10,637 outputs
Outputs of similar age
#153,631
of 226,417 outputs
Outputs of similar age from BMC Genomics
#117
of 197 outputs
Altmetric has tracked 22,758,248 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,637 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 23rd percentile – i.e., 23% 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 226,417 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 197 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.