| Title |
The IDH-TAU-EGFR triad defines the neovascular landscape of diffuse gliomas
|
|---|---|
| Published in |
Science Translational Medicine, January 2020
|
| DOI | 10.1126/scitranslmed.aax1501 |
| Pubmed ID | |
| Authors |
Ricardo Gargini, Berta Segura-Collar, Beatriz Herránz, Vega García-Escudero, Andrés Romero-Bravo, Felipe J Núñez, Daniel García-Pérez, Jacqueline Gutiérrez-Guamán, Angel Ayuso-Sacido, Joan Seoane, Angel Pérez-Núñez, Juan M Sepúlveda-Sánchez, Aurelio Hernández-Laín, María G Castro, Ramón García-Escudero, Jesús Ávila, Pilar Sánchez-Gómez |
X Demographics
The data shown below were collected from the profiles of 76 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 25 | 33% |
| United States | 13 | 17% |
| United Kingdom | 4 | 5% |
| Japan | 4 | 5% |
| Germany | 2 | 3% |
| Armenia | 1 | 1% |
| Bhutan | 1 | 1% |
| France | 1 | 1% |
| Dominican Republic | 1 | 1% |
| Other | 0 | 0% |
| Unknown | 24 | 32% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 50 | 66% |
| Scientists | 15 | 20% |
| Practitioners (doctors, other healthcare professionals) | 8 | 11% |
| Science communicators (journalists, bloggers, editors) | 2 | 3% |
| Unknown | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 97 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 18 | 19% |
| Student > Ph. D. Student | 16 | 16% |
| Student > Master | 12 | 12% |
| Student > Bachelor | 7 | 7% |
| Other | 6 | 6% |
| Other | 15 | 15% |
| Unknown | 23 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 26 | 27% |
| Neuroscience | 12 | 12% |
| Medicine and Dentistry | 7 | 7% |
| Immunology and Microbiology | 6 | 6% |
| Computer Science | 3 | 3% |
| Other | 10 | 10% |
| Unknown | 33 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 117. 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 15 April 2023.
All research outputs
#363,741
of 25,753,578 outputs
Outputs from Science Translational Medicine
#1,014
of 5,477 outputs
Outputs of similar age
#9,159
of 479,779 outputs
Outputs of similar age from Science Translational Medicine
#26
of 104 outputs
Altmetric has tracked 25,753,578 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,477 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 86.5. This one has done well, scoring higher than 81% 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 479,779 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 104 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.