| Title |
The feasibility of developing biomarkers from peripheral blood mononuclear cell RNAseq data in children with juvenile idiopathic arthritis using machine learning approaches
|
|---|---|
| Published in |
Arthritis Research & Therapy, November 2019
|
| DOI | 10.1186/s13075-019-2010-z |
| Pubmed ID | |
| Authors |
Kerry E. Poppenberg, Kaiyu Jiang, Lu Li, Yijun Sun, Hui Meng, Carol A. Wallace, Teresa Hennon, James N. Jarvis |
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 % |
|---|---|---|
| Germany | 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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 35 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 17% |
| Student > Ph. D. Student | 6 | 17% |
| Student > Master | 4 | 11% |
| Student > Doctoral Student | 3 | 9% |
| Other | 2 | 6% |
| Other | 4 | 11% |
| Unknown | 10 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 7 | 20% |
| Biochemistry, Genetics and Molecular Biology | 3 | 9% |
| Agricultural and Biological Sciences | 3 | 9% |
| Engineering | 2 | 6% |
| Nursing and Health Professions | 1 | 3% |
| Other | 5 | 14% |
| Unknown | 14 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 02 February 2021.
All research outputs
#16,057,393
of 25,387,668 outputs
Outputs from Arthritis Research & Therapy
#2,340
of 3,383 outputs
Outputs of similar age
#216,917
of 380,180 outputs
Outputs of similar age from Arthritis Research & Therapy
#39
of 65 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,383 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.2. This one is in the 28th percentile – i.e., 28% 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 380,180 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 65 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.