| Title |
Epigenetically defined therapeutic targeting in H3.3G34R/V high-grade gliomas
|
|---|---|
| Published in |
Science Translational Medicine, October 2021
|
| DOI | 10.1126/scitranslmed.abf7860 |
| Pubmed ID | |
| Authors |
Stefan R Sweha, Chan Chung, Siva Kumar Natarajan, Pooja Panwalkar, Matthew Pun, Amer Ghali, Jill Bayliss, Drew Pratt, Anand Shankar, Visweswaran Ravikumar, Arvind Rao, Marcin Cieslik, Kari Wilder-Romans, Andrew J Scott, Daniel R Wahl, Selin Jessa, Claudia L Kleinman, Nada Jabado, Alan Mackay, Chris Jones, Daniel Martinez, Mariarita Santi, Alexander R Judkins, Viveka Nand Yadav, Tingting Qin, Timothy N Phoenix, Carl J Koschmann, Suzanne J Baker, Arul M Chinnaiyan, Sriram Venneti |
X Demographics
The data shown below were collected from the profiles of 36 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 | 16 | 44% |
| Germany | 4 | 11% |
| United Kingdom | 2 | 6% |
| Australia | 1 | 3% |
| France | 1 | 3% |
| Canada | 1 | 3% |
| Switzerland | 1 | 3% |
| Unknown | 10 | 28% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 16 | 44% |
| Members of the public | 16 | 44% |
| Science communicators (journalists, bloggers, editors) | 3 | 8% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 28 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 18% |
| Researcher | 4 | 14% |
| Student > Postgraduate | 4 | 14% |
| Student > Master | 1 | 4% |
| Unknown | 14 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 18% |
| Agricultural and Biological Sciences | 3 | 11% |
| Neuroscience | 2 | 7% |
| Immunology and Microbiology | 1 | 4% |
| Sports and Recreations | 1 | 4% |
| Other | 3 | 11% |
| Unknown | 13 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 65. 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 19 January 2022.
All research outputs
#654,770
of 25,402,528 outputs
Outputs from Science Translational Medicine
#1,584
of 5,439 outputs
Outputs of similar age
#15,734
of 437,603 outputs
Outputs of similar age from Science Translational Medicine
#46
of 89 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 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,439 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 86.6. This one has gotten more attention than average, scoring higher than 70% 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 437,603 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 96% of its contemporaries.
We're also able to compare this research output to 89 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.