| Title |
A ferroptosis–based panel of prognostic biomarkers for Amyotrophic Lateral Sclerosis
|
|---|---|
| Published in |
Scientific Reports, February 2019
|
| DOI | 10.1038/s41598-019-39739-5 |
| Pubmed ID | |
| Authors |
David Devos, Caroline Moreau, Maeva Kyheng, Guillaume Garçon, Anne Sophie Rolland, Hélène Blasco, Patrick Gelé, T. Timothée Lenglet, C. Veyrat-Durebex, Philippe Corcia, Mary Dutheil, Peter Bede, Andreas Jeromin, Patrick Oeckl, Markus Otto, Vincent Meininger, Véronique Danel-Brunaud, Jean-christophe Devedjian, James A. Duce, Pierre François Pradat |
X Demographics
The data shown below were collected from the profiles of 6 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 | 2 | 33% |
| Unknown | 4 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 124 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 124 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 12% |
| Student > Ph. D. Student | 14 | 11% |
| Student > Bachelor | 13 | 10% |
| Other | 8 | 6% |
| Student > Master | 8 | 6% |
| Other | 17 | 14% |
| Unknown | 49 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 17 | 14% |
| Medicine and Dentistry | 15 | 12% |
| Biochemistry, Genetics and Molecular Biology | 14 | 11% |
| Chemistry | 6 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 6 | 5% |
| Other | 16 | 13% |
| Unknown | 50 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 24 October 2020.
All research outputs
#2,427,015
of 23,301,510 outputs
Outputs from Scientific Reports
#21,217
of 125,941 outputs
Outputs of similar age
#57,151
of 354,172 outputs
Outputs of similar age from Scientific Reports
#888
of 4,437 outputs
Altmetric has tracked 23,301,510 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 125,941 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.3. This one has done well, scoring higher than 83% 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 354,172 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 83% of its contemporaries.
We're also able to compare this research output to 4,437 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.