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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Global gene expression profiling identifies new therapeutic targets in acute Kawasaki disease
|
|---|---|
| Published in |
Genome Medicine, November 2014
|
| DOI | 10.1186/s13073-014-0102-6 |
| Pubmed ID | |
| Authors |
Long Truong Hoang, Chisato Shimizu, Ling Ling, Ahmad Nazri Mohamed Naim, Chiea Chuen Khor, Adriana H Tremoulet, Victoria Wright, Michael Levin, Martin L Hibberd, Jane C Burns |
| Abstract |
Global gene expression profiling can provide insight into the underlying pathophysiology of disease processes. Kawasaki disease (KD) is an acute, self-limited vasculitis whose etiology remains unknown. Although the clinical illness shares certain features with other pediatric infectious diseases, the occurrence of coronary artery aneurysms in 25% of untreated patients is unique to KD. |
X Demographics
The data shown below were collected from the profiles of 20 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 | 4 | 20% |
| Spain | 1 | 5% |
| Pakistan | 1 | 5% |
| Curaçao | 1 | 5% |
| Unknown | 13 | 65% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 50% |
| Scientists | 5 | 25% |
| Practitioners (doctors, other healthcare professionals) | 4 | 20% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Korea, Republic of | 1 | 1% |
| Spain | 1 | 1% |
| Unknown | 65 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 22% |
| Researcher | 12 | 18% |
| Student > Bachelor | 7 | 10% |
| Other | 7 | 10% |
| Student > Master | 6 | 9% |
| Other | 6 | 9% |
| Unknown | 14 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 25 | 37% |
| Biochemistry, Genetics and Molecular Biology | 9 | 13% |
| Agricultural and Biological Sciences | 7 | 10% |
| Nursing and Health Professions | 2 | 3% |
| Engineering | 2 | 3% |
| Other | 3 | 4% |
| Unknown | 19 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 30 July 2021.
All research outputs
#2,020,335
of 25,382,035 outputs
Outputs from Genome Medicine
#453
of 1,583 outputs
Outputs of similar age
#26,403
of 366,240 outputs
Outputs of similar age from Genome Medicine
#16
of 54 outputs
Altmetric has tracked 25,382,035 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,583 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.8. This one has gotten more attention than average, scoring higher than 71% of its peers.
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 366,240 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.