| Title |
Integrated Metabolic and Epigenomic Reprograming by H3K27M Mutations in Diffuse Intrinsic Pontine Gliomas
|
|---|---|
| Published in |
Cancer Cell, August 2020
|
| DOI | 10.1016/j.ccell.2020.07.008 |
| Pubmed ID | |
| Authors |
Chan Chung, Stefan R Sweha, Drew Pratt, Benita Tamrazi, Pooja Panwalkar, Adam Banda, Jill Bayliss, Debra Hawes, Fusheng Yang, Ho-Joon Lee, Mengrou Shan, Marcin Cieslik, Tingting Qin, Christian K Werner, Daniel R Wahl, Costas A Lyssiotis, Zhiguo Bian, J Brad Shotwell, Viveka Nand Yadav, Carl Koschmann, Arul M Chinnaiyan, Stefan Blüml, Alexander R Judkins, Sriram Venneti |
X Demographics
The data shown below were collected from the profiles of 65 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 | 26 | 40% |
| Germany | 3 | 5% |
| China | 2 | 3% |
| India | 2 | 3% |
| Australia | 2 | 3% |
| United Kingdom | 2 | 3% |
| Spain | 1 | 2% |
| Japan | 1 | 2% |
| Canada | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 24 | 37% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 35 | 54% |
| Scientists | 29 | 45% |
| Practitioners (doctors, other healthcare professionals) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 154 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 154 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 32 | 21% |
| Student > Ph. D. Student | 21 | 14% |
| Student > Postgraduate | 10 | 6% |
| Student > Bachelor | 8 | 5% |
| Other | 7 | 5% |
| Other | 18 | 12% |
| Unknown | 58 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 41 | 27% |
| Medicine and Dentistry | 15 | 10% |
| Agricultural and Biological Sciences | 12 | 8% |
| Neuroscience | 6 | 4% |
| Chemistry | 4 | 3% |
| Other | 13 | 8% |
| Unknown | 63 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 168. 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 August 2023.
All research outputs
#241,222
of 25,402,528 outputs
Outputs from Cancer Cell
#106
of 3,153 outputs
Outputs of similar age
#7,633
of 425,393 outputs
Outputs of similar age from Cancer Cell
#4
of 57 outputs
Altmetric has tracked 25,402,528 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,153 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 37.3. This one has done particularly well, scoring higher than 96% 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 425,393 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 98% of its contemporaries.
We're also able to compare this research output to 57 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 94% of its contemporaries.