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X Demographics
Mendeley readers
Attention Score in Context
Title |
Association of variants in HTRA1 and NOTCH3 with MRI-defined extremes of cerebral small vessel disease in older subjects
|
---|---|
Published in |
Brain, March 2019
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DOI | 10.1093/brain/awz024 |
Pubmed ID | |
Authors |
Aniket Mishra, Ganesh Chauhan, Marie-Helene Violleau, Dina Vojinovic, Xueqiu Jian, Joshua C Bis, Shuo Li, Yasaman Saba, Benjamin Grenier-Boley, Qiong Yang, Traci M Bartz, Edith Hofer, Aïcha Soumaré, Fen Peng, Marie-Gabrielle Duperron, Mario Foglio, Thomas H Mosley, Reinhold Schmidt, Bruce M Psaty, Lenore J Launer, Eric Boerwinkle, Yicheng Zhu, Bernard Mazoyer, Mark Lathrop, Celine Bellenguez, Cornelia M Van Duijn, M Arfan Ikram, Helena Schmidt, W T Longstreth, Myriam Fornage, Sudha Seshadri, Anne Joutel, Christophe Tzourio, Stephanie Debette |
X Demographics
The data shown below were collected from the profiles of 19 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 Kingdom | 10 | 53% |
United States | 1 | 5% |
Switzerland | 1 | 5% |
Spain | 1 | 5% |
Unknown | 6 | 32% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 10 | 53% |
Scientists | 5 | 26% |
Science communicators (journalists, bloggers, editors) | 2 | 11% |
Practitioners (doctors, other healthcare professionals) | 2 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 77 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 18 | 23% |
Researcher | 12 | 16% |
Student > Doctoral Student | 7 | 9% |
Student > Master | 5 | 6% |
Professor | 3 | 4% |
Other | 7 | 9% |
Unknown | 25 | 32% |
Readers by discipline | Count | As % |
---|---|---|
Neuroscience | 12 | 16% |
Medicine and Dentistry | 12 | 16% |
Biochemistry, Genetics and Molecular Biology | 11 | 14% |
Agricultural and Biological Sciences | 5 | 6% |
Arts and Humanities | 2 | 3% |
Other | 8 | 10% |
Unknown | 27 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 26 March 2019.
All research outputs
#3,115,526
of 23,133,982 outputs
Outputs from Brain
#2,887
of 7,166 outputs
Outputs of similar age
#70,908
of 351,385 outputs
Outputs of similar age from Brain
#62
of 106 outputs
Altmetric has tracked 23,133,982 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,166 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.0. This one has gotten more attention than average, scoring higher than 59% 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 351,385 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 79% of its contemporaries.
We're also able to compare this research output to 106 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.