| Title |
Pediatric and adult H3 K27M-mutant diffuse midline glioma treated with the selective DRD2 antagonist ONC201
|
|---|---|
| Published in |
Journal of Neuro-Oncology, August 2019
|
| DOI | 10.1007/s11060-019-03271-3 |
| Pubmed ID | |
| Authors |
Andrew S. Chi, Rohinton S. Tarapore, Matthew D. Hall, Nicole Shonka, Sharon Gardner, Yoshie Umemura, Ashley Sumrall, Ziad Khatib, Sabine Mueller, Cassie Kline, Wafik Zaky, Soumen Khatua, Shiao-Pei Weathers, Yazmin Odia, Toba N. Niazi, Doured Daghistani, Irene Cherrick, David Korones, Matthias A. Karajannis, Xiao-Tang Kong, Jane Minturn, Angela Waanders, Isabel Arillaga-Romany, Tracy Batchelor, Patrick Y. Wen, Krystal Merdinger, Lee Schalop, Martin Stogniew, Joshua E. Allen, Wolfgang Oster, Minesh P. Mehta |
X Demographics
The data shown below were collected from the profiles of 30 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 | 15 | 50% |
| Tanzania, United Republic of | 1 | 3% |
| China | 1 | 3% |
| Australia | 1 | 3% |
| United Kingdom | 1 | 3% |
| Unknown | 11 | 37% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 20 | 67% |
| Scientists | 5 | 17% |
| Practitioners (doctors, other healthcare professionals) | 3 | 10% |
| Science communicators (journalists, bloggers, editors) | 2 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 110 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 12% |
| Other | 11 | 10% |
| Student > Doctoral Student | 11 | 10% |
| Student > Bachelor | 10 | 9% |
| Researcher | 10 | 9% |
| Other | 20 | 18% |
| Unknown | 35 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 38 | 35% |
| Biochemistry, Genetics and Molecular Biology | 13 | 12% |
| Neuroscience | 8 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 4% |
| Physics and Astronomy | 3 | 3% |
| Other | 8 | 7% |
| Unknown | 36 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 40. 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 13 October 2022.
All research outputs
#977,087
of 24,614,554 outputs
Outputs from Journal of Neuro-Oncology
#33
of 3,146 outputs
Outputs of similar age
#21,058
of 345,323 outputs
Outputs of similar age from Journal of Neuro-Oncology
#2
of 62 outputs
Altmetric has tracked 24,614,554 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,146 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done particularly well, scoring higher than 98% 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 345,323 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 93% of its contemporaries.
We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.