| Title |
Therapeutic Algorithm for Use of Melatonin in Patients With COVID-19
|
|---|---|
| Published in |
Frontiers in Medicine, May 2020
|
| DOI | 10.3389/fmed.2020.00226 |
| Pubmed ID | |
| Authors |
Russel J. Reiter, Pedro Abreu-Gonzalez, Paul E. Marik, Alberto Dominguez-Rodriguez |
X Demographics
The data shown below were collected from the profiles of 93 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 | 16 | 17% |
| France | 4 | 4% |
| Venezuela, Bolivarian Republic of | 3 | 3% |
| Spain | 2 | 2% |
| Ireland | 1 | 1% |
| Japan | 1 | 1% |
| Belgium | 1 | 1% |
| Germany | 1 | 1% |
| Costa Rica | 1 | 1% |
| Other | 0 | 0% |
| Unknown | 63 | 68% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 86 | 92% |
| Practitioners (doctors, other healthcare professionals) | 3 | 3% |
| Scientists | 3 | 3% |
| Science communicators (journalists, bloggers, editors) | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 189 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 189 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 27 | 14% |
| Student > Master | 23 | 12% |
| Other | 18 | 10% |
| Student > Bachelor | 18 | 10% |
| Professor | 9 | 5% |
| Other | 40 | 21% |
| Unknown | 54 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 53 | 28% |
| Biochemistry, Genetics and Molecular Biology | 15 | 8% |
| Nursing and Health Professions | 12 | 6% |
| Engineering | 7 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 6 | 3% |
| Other | 31 | 16% |
| Unknown | 65 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 437. 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 01 January 2024.
All research outputs
#65,837
of 25,768,270 outputs
Outputs from Frontiers in Medicine
#32
of 7,317 outputs
Outputs of similar age
#2,612
of 422,867 outputs
Outputs of similar age from Frontiers in Medicine
#1
of 167 outputs
Altmetric has tracked 25,768,270 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,317 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.3. This one has done particularly well, scoring higher than 99% 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 422,867 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 99% of its contemporaries.
We're also able to compare this research output to 167 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 99% of its contemporaries.