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Timeline
X Demographics
Mendeley readers
Attention Score in Context
Title |
A Home-Treatment Algorithm Based on Anti-inflammatory Drugs to Prevent Hospitalization of Patients With Early COVID-19: A Matched-Cohort Study (COVER 2)
|
---|---|
Published in |
Frontiers in Medicine, April 2022
|
DOI | 10.3389/fmed.2022.785785 |
Pubmed ID | |
Authors |
Elena Consolaro, Fredy Suter, Nadia Rubis, Stefania Pedroni, Chiara Moroni, Elena Pastò, Maria Vittoria Paganini, Grazia Pravettoni, Umberto Cantarelli, Norberto Perico, Annalisa Perna, Tobia Peracchi, Piero Ruggenenti, Giuseppe Remuzzi |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Italy | 3 | 8% |
France | 3 | 8% |
United States | 2 | 5% |
Switzerland | 2 | 5% |
Fiji | 1 | 3% |
Japan | 1 | 3% |
Sao Tome and Principe | 1 | 3% |
Mexico | 1 | 3% |
Unknown | 26 | 65% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 37 | 93% |
Scientists | 2 | 5% |
Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 28 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 4 | 14% |
Lecturer | 2 | 7% |
Professor > Associate Professor | 2 | 7% |
Lecturer > Senior Lecturer | 1 | 4% |
Student > Doctoral Student | 1 | 4% |
Other | 4 | 14% |
Unknown | 14 | 50% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 3 | 11% |
Unspecified | 1 | 4% |
Mathematics | 1 | 4% |
Linguistics | 1 | 4% |
Nursing and Health Professions | 1 | 4% |
Other | 5 | 18% |
Unknown | 16 | 57% |
Attention Score in Context
This research output has an Altmetric Attention Score of 32. 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 07 September 2024.
All research outputs
#1,341,786
of 26,795,820 outputs
Outputs from Frontiers in Medicine
#392
of 7,809 outputs
Outputs of similar age
#30,975
of 454,040 outputs
Outputs of similar age from Frontiers in Medicine
#37
of 581 outputs
Altmetric has tracked 26,795,820 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,809 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one has done particularly well, scoring higher than 94% 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 454,040 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 93% of its contemporaries.
We're also able to compare this research output to 581 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 93% of its contemporaries.