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.
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Title |
Neurological Predictors of Clinical Outcomes in Hospitalized Patients With COVID-19
|
---|---|
Published in |
Frontiers in Neurology, October 2020
|
DOI | 10.3389/fneur.2020.585944 |
Pubmed ID | |
Authors |
Hisham Salahuddin, Ehad Afreen, Irfan S. Sheikh, Sohaib Lateef, Giana Dawod, Judy Daboul, Nurose Karim, Khaled Gharaibeh, Mustafa Al-Chalabi, Sihyeong Park, Alicia C. Castonguay, Ragheb Assaly, Fadi Safi, Marla Matal, Ajaz Sheikh, Gretchen Tietjen, Deepa Malaiyandi, Elysia James, Imran Ali, Syed F. Zaidi, Ahmad Abdelwahed, Vieh Kung, Richard Burgess, Mouhammad A. Jumaa |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 7 | 37% |
Unknown | 12 | 63% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 11 | 58% |
Scientists | 3 | 16% |
Practitioners (doctors, other healthcare professionals) | 3 | 16% |
Science communicators (journalists, bloggers, editors) | 2 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 92 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 14 | 15% |
Researcher | 9 | 10% |
Student > Master | 8 | 9% |
Student > Ph. D. Student | 7 | 8% |
Other | 6 | 7% |
Other | 14 | 15% |
Unknown | 34 | 37% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 28 | 30% |
Nursing and Health Professions | 5 | 5% |
Neuroscience | 4 | 4% |
Pharmacology, Toxicology and Pharmaceutical Science | 3 | 3% |
Agricultural and Biological Sciences | 3 | 3% |
Other | 11 | 12% |
Unknown | 38 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 23. 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 28 November 2021.
All research outputs
#1,746,390
of 26,493,631 outputs
Outputs from Frontiers in Neurology
#665
of 15,110 outputs
Outputs of similar age
#44,089
of 446,106 outputs
Outputs of similar age from Frontiers in Neurology
#47
of 626 outputs
Altmetric has tracked 26,493,631 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 15,110 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done particularly well, scoring higher than 95% 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 446,106 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 90% of its contemporaries.
We're also able to compare this research output to 626 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.