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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The RNA-binding protein SERBP1 functions as a novel oncogenic factor in glioblastoma by bridging cancer metabolism and epigenetic regulation
|
|---|---|
| Published in |
Genome Biology, August 2020
|
| DOI | 10.1186/s13059-020-02115-y |
| Pubmed ID | |
| Authors |
Adam Kosti, Patricia Rosa de Araujo, Wei-Qing Li, Gabriela D. A. Guardia, Jennifer Chiou, Caihong Yi, Debashish Ray, Fabiana Meliso, Yi-Ming Li, Talia Delambre, Mei Qiao, Suzanne S. Burns, Franziska K. Lorbeer, Fanny Georgi, Markus Flosbach, Sarah Klinnert, Anne Jenseit, Xiufen Lei, Carolina Romero Sandoval, Kevin Ha, Hong Zheng, Renu Pandey, Aleksandra Gruslova, Yogesh K. Gupta, Andrew Brenner, Erzsebet Kokovay, Timothy R. Hughes, Quaid D. Morris, Pedro A. F. Galante, Stefano Tiziani, Luiz O. F. Penalva |
X Demographics
The data shown below were collected from the profiles of 14 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 | 29% |
| United Kingdom | 2 | 14% |
| Burkina Faso | 1 | 7% |
| Brazil | 1 | 7% |
| Unknown | 6 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 50% |
| Scientists | 5 | 36% |
| Science communicators (journalists, bloggers, editors) | 2 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 69 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 12 | 17% |
| Student > Ph. D. Student | 7 | 10% |
| Student > Doctoral Student | 6 | 9% |
| Researcher | 6 | 9% |
| Student > Master | 6 | 9% |
| Other | 4 | 6% |
| Unknown | 28 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 19 | 28% |
| Medicine and Dentistry | 8 | 12% |
| Agricultural and Biological Sciences | 3 | 4% |
| Chemistry | 2 | 3% |
| Neuroscience | 2 | 3% |
| Other | 4 | 6% |
| Unknown | 31 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 03 February 2022.
All research outputs
#3,270,776
of 25,768,270 outputs
Outputs from Genome Biology
#2,358
of 4,516 outputs
Outputs of similar age
#82,582
of 427,879 outputs
Outputs of similar age from Genome Biology
#76
of 101 outputs
Altmetric has tracked 25,768,270 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,516 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.5. This one is in the 47th percentile – i.e., 47% 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 427,879 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 101 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.