| Title |
COVID-19: age, Interleukin-6, C-reactive protein, and lymphocytes as key clues from a multicentre retrospective study
|
|---|---|
| Published in |
Immunity & Ageing, August 2020
|
| DOI | 10.1186/s12979-020-00194-w |
| Pubmed ID | |
| Authors |
Aurora Jurado, María C. Martín, Cristina Abad-Molina, Antonio Orduña, Alba Martínez, Esther Ocaña, Oscar Yarce, Ana M. Navas, Antonio Trujillo, Luis Fernández, Esther Vergara, Beatriz Rodríguez, Bibiana Quirant, Eva Martínez-Cáceres, Manuel Hernández, Janire Perurena-Prieto, Juana Gil, Sergi Cantenys, Gema González-Martínez, María T. Martínez-Saavedra, Ricardo Rojo, Francisco M. Marco, Sergio Mora, Jesús Ontañón, Marcos López-Hoyos, Gonzalo Ocejo-Vinyals, Josefa Melero, Marta Aguilar, Delia Almeida, Silvia Medina, María C. Vegas, Yesenia Jiménez, Álvaro Prada, David Monzón, Francisco Boix, Vanesa Cunill, Juan Molina |
X Demographics
The data shown below were collected from the profiles of 17 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 5 | 29% |
| United Kingdom | 2 | 12% |
| Argentina | 1 | 6% |
| Mexico | 1 | 6% |
| Unknown | 8 | 47% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 71% |
| Practitioners (doctors, other healthcare professionals) | 2 | 12% |
| Scientists | 2 | 12% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 179 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 179 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 30 | 17% |
| Student > Master | 21 | 12% |
| Student > Ph. D. Student | 18 | 10% |
| Researcher | 16 | 9% |
| Other | 11 | 6% |
| Other | 26 | 15% |
| Unknown | 57 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 49 | 27% |
| Biochemistry, Genetics and Molecular Biology | 13 | 7% |
| Nursing and Health Professions | 10 | 6% |
| Immunology and Microbiology | 9 | 5% |
| Agricultural and Biological Sciences | 8 | 4% |
| Other | 28 | 16% |
| Unknown | 62 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 13 April 2023.
All research outputs
#2,149,703
of 25,706,302 outputs
Outputs from Immunity & Ageing
#61
of 451 outputs
Outputs of similar age
#56,944
of 426,431 outputs
Outputs of similar age from Immunity & Ageing
#1
of 7 outputs
Altmetric has tracked 25,706,302 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 451 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.9. This one has done well, scoring higher than 86% 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 426,431 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 86% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them