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X Demographics
Mendeley readers
Attention Score in Context
Title |
Clinical Characteristics in the Acute Phase of COVID-19 That Predict Long COVID: Tachycardia, Myalgias, Severity, and Use of Antibiotics as Main Risk Factors, While Education and Blood Group B Are Protective
|
---|---|
Published in |
Healthcare, January 2023
|
DOI | 10.3390/healthcare11020197 |
Pubmed ID | |
Authors |
Jose Guzman-Esquivel, Martha A. Mendoza-Hernandez, Hannah P. Guzman-Solorzano, Karla A. Sarmiento-Hernandez, Iram P. Rodriguez-Sanchez, Margarita L. Martinez-Fierro, Brenda A. Paz-Michel, Efren Murillo-Zamora, Fabian Rojas-Larios, Angel Lugo-Trampe, Jorge E. Plata-Florenzano, Marina Delgado-Machuca, Ivan Delgado-Enciso |
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 % |
---|---|---|
Mexico | 3 | 50% |
Comoros | 1 | 17% |
Unknown | 2 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 83% |
Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 32 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 4 | 13% |
Other | 2 | 6% |
Student > Bachelor | 2 | 6% |
Student > Ph. D. Student | 2 | 6% |
Student > Doctoral Student | 1 | 3% |
Other | 3 | 9% |
Unknown | 18 | 56% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 4 | 13% |
Psychology | 2 | 6% |
Economics, Econometrics and Finance | 1 | 3% |
Unspecified | 1 | 3% |
Immunology and Microbiology | 1 | 3% |
Other | 1 | 3% |
Unknown | 22 | 69% |
Attention Score in Context
This research output has an Altmetric Attention Score of 21. 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 27 February 2023.
All research outputs
#1,600,036
of 23,445,423 outputs
Outputs from Healthcare
#193
of 2,809 outputs
Outputs of similar age
#31,553
of 429,081 outputs
Outputs of similar age from Healthcare
#9
of 313 outputs
Altmetric has tracked 23,445,423 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 2,809 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.0. This one has done particularly well, scoring higher than 93% 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 429,081 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 92% of its contemporaries.
We're also able to compare this research output to 313 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 97% of its contemporaries.