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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Microarray Meta-Analysis Identifies Acute Lung Injury Biomarkers in Donor Lungs That Predict Development of Primary Graft Failure in Recipients
|
|---|---|
| Published in |
PLOS ONE, October 2012
|
| DOI | 10.1371/journal.pone.0045506 |
| Pubmed ID | |
| Authors |
Pingzhao Hu, Xinchen Wang, Jack J. Haitsma, Suleiman Furmli, Hussain Masoom, Mingyao Liu, Yumiko Imai, Arthur S. Slutsky, Joseph Beyene, Celia M. T. Greenwood, Claudia dos Santos |
| Abstract |
To perform a meta-analysis of gene expression microarray data from animal studies of lung injury, and to identify an injury-specific gene expression signature capable of predicting the development of lung injury in humans. |
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 | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| France | 1 | 2% |
| Luxembourg | 1 | 2% |
| Unknown | 39 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 24% |
| Student > Master | 6 | 14% |
| Student > Bachelor | 5 | 12% |
| Student > Ph. D. Student | 4 | 10% |
| Professor > Associate Professor | 3 | 7% |
| Other | 8 | 19% |
| Unknown | 6 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 31% |
| Agricultural and Biological Sciences | 10 | 24% |
| Biochemistry, Genetics and Molecular Biology | 6 | 14% |
| Nursing and Health Professions | 3 | 7% |
| Mathematics | 2 | 5% |
| Other | 2 | 5% |
| Unknown | 6 | 14% |
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 16 October 2012.
All research outputs
#17,667,907
of 22,681,577 outputs
Outputs from PLOS ONE
#146,273
of 193,576 outputs
Outputs of similar age
#125,785
of 173,083 outputs
Outputs of similar age from PLOS ONE
#3,246
of 4,566 outputs
Altmetric has tracked 22,681,577 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 193,576 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one is in the 20th percentile – i.e., 20% 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 173,083 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4,566 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.