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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Correction to: Dual RNA-seq reveals viral infections in asthmatic children without respiratory illness which are associated with changes in the airway transcriptome
|
|---|---|
| Published in |
Genome Biology, April 2018
|
| DOI | 10.1186/s13059-018-1423-3 |
| Pubmed ID | |
| Authors |
Agata Wesolowska-Andersen, Jamie L. Everman, Rebecca Davidson, Cydney Rios, Rachelle Herrin, Celeste Eng, William J. Janssen, Andrew H. Liu, Sam S. Oh, Rajesh Kumar, Tasha E. Fingerlin, Jose Rodriguez-Santana, Esteban G. Burchard, Max A. Seibold |
| Abstract |
In our recent article [1], it has come to our attention that the sample labels are not consistent between Table 1, the data labels deposited in the Sequence Read Archive, and Additional file 1: Table S2. We are therefore providing an updated Additional file 1: Table S2 so identical samples now have the same label. |
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 % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 6 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor > Associate Professor | 3 | 50% |
| Student > Ph. D. Student | 1 | 17% |
| Student > Doctoral Student | 1 | 17% |
| Unknown | 1 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 3 | 50% |
| Social Sciences | 1 | 17% |
| Medicine and Dentistry | 1 | 17% |
| Unknown | 1 | 17% |
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 April 2018.
All research outputs
#22,767,715
of 25,382,440 outputs
Outputs from Genome Biology
#4,395
of 4,468 outputs
Outputs of similar age
#302,997
of 343,274 outputs
Outputs of similar age from Genome Biology
#34
of 35 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,468 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 1st percentile – i.e., 1% 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 343,274 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 35 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.