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X Demographics
Mendeley readers
Attention Score in Context
| Title |
CXCL10 levels at hospital admission predict COVID-19 outcome: hierarchical assessment of 53 putative inflammatory biomarkers in an observational study
|
|---|---|
| Published in |
Molecular Medicine, October 2021
|
| DOI | 10.1186/s10020-021-00390-4 |
| Pubmed ID | |
| Authors |
Nicola I. Lorè, Rebecca De Lorenzo, Paola M. V. Rancoita, Federica Cugnata, Alessandra Agresti, Francesco Benedetti, Marco E. Bianchi, Chiara Bonini, Annalisa Capobianco, Caterina Conte, Angelo Corti, Roberto Furlan, Paola Mantegani, Norma Maugeri, Clara Sciorati, Fabio Saliu, Laura Silvestri, Cristina Tresoldi, Fabio Ciceri, Patrizia Rovere-Querini, Clelia Di Serio, Daniela M. Cirillo, Angelo A. Manfredi |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 2 | 50% |
| United States | 1 | 25% |
| Germany | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 80 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 15% |
| Student > Master | 9 | 11% |
| Student > Bachelor | 7 | 9% |
| Researcher | 6 | 8% |
| Student > Postgraduate | 3 | 4% |
| Other | 7 | 9% |
| Unknown | 36 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 18% |
| Biochemistry, Genetics and Molecular Biology | 6 | 8% |
| Immunology and Microbiology | 4 | 5% |
| Nursing and Health Professions | 4 | 5% |
| Computer Science | 2 | 3% |
| Other | 13 | 16% |
| Unknown | 37 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 09 February 2022.
All research outputs
#3,746,200
of 23,090,520 outputs
Outputs from Molecular Medicine
#154
of 1,155 outputs
Outputs of similar age
#82,426
of 437,579 outputs
Outputs of similar age from Molecular Medicine
#5
of 27 outputs
Altmetric has tracked 23,090,520 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,155 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.3. 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 437,579 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 81% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.