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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Clinical utility of custom-designed NGS panel testing in pediatric tumors
|
|---|---|
| Published in |
Genome Medicine, May 2019
|
| DOI | 10.1186/s13073-019-0644-8 |
| Pubmed ID | |
| Authors |
Lea F. Surrey, Suzanne P. MacFarland, Fengqi Chang, Kajia Cao, Komal S. Rathi, Gozde T. Akgumus, Daniel Gallo, Fumin Lin, Adam Gleason, Pichai Raman, Richard Aplenc, Rochelle Bagatell, Jane Minturn, Yael Mosse, Mariarita Santi, Sarah K. Tasian, Angela J. Waanders, Mahdi Sarmady, John M. Maris, Stephen P. Hunger, Marilyn M. Li |
X Demographics
The data shown below were collected from the profiles of 13 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 Kingdom | 4 | 31% |
| United States | 3 | 23% |
| France | 1 | 8% |
| Unknown | 5 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 6 | 46% |
| Members of the public | 4 | 31% |
| Practitioners (doctors, other healthcare professionals) | 2 | 15% |
| Science communicators (journalists, bloggers, editors) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 90 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 21% |
| Student > Ph. D. Student | 11 | 12% |
| Other | 6 | 7% |
| Student > Postgraduate | 4 | 4% |
| Student > Master | 4 | 4% |
| Other | 8 | 9% |
| Unknown | 38 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 21 | 23% |
| Medicine and Dentistry | 16 | 18% |
| Agricultural and Biological Sciences | 8 | 9% |
| Chemistry | 2 | 2% |
| Immunology and Microbiology | 2 | 2% |
| Other | 3 | 3% |
| Unknown | 38 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 17 June 2019.
All research outputs
#4,724,549
of 23,607,611 outputs
Outputs from Genome Medicine
#902
of 1,468 outputs
Outputs of similar age
#93,298
of 351,369 outputs
Outputs of similar age from Genome Medicine
#15
of 22 outputs
Altmetric has tracked 23,607,611 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,468 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.9. This one is in the 38th percentile – i.e., 38% 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 351,369 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.