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CXCL10 levels at hospital admission predict COVID-19 outcome: hierarchical assessment of 53 putative inflammatory biomarkers in an observational study

Overview of attention for article published in Molecular Medicine, October 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

news
1 news outlet
twitter
4 tweeters

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
29 Mendeley
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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, Nicola Farina, Luigi De Filippo, Marco Battista, Domenico Grosso, Francesca Gorgoni, Carlo Di Biase, Alessio Grazioli Moretti, Lucio Granata, Filippo Bonaldi, Giulia Bettinelli, Elena Delmastro, Damiano Salvato, Giulia Magni, Monica Avino, Paolo Betti, Romina Bucci, Iulia Dumoa, Simona Bossolasco, Federica Morselli, Fabio Ciceri, Patrizia Rovere-Querini, Clelia Di Serio, Daniela M. Cirillo, Angelo A. Manfredi

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 4 14%
Student > Bachelor 4 14%
Student > Master 4 14%
Librarian 2 7%
Student > Doctoral Student 1 3%
Other 2 7%
Unknown 12 41%
Readers by discipline Count As %
Medicine and Dentistry 7 24%
Unspecified 5 17%
Nursing and Health Professions 2 7%
Arts and Humanities 1 3%
Social Sciences 1 3%
Other 1 3%
Unknown 12 41%

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
#3,362,234
of 21,131,454 outputs
Outputs from Molecular Medicine
#130
of 1,051 outputs
Outputs of similar age
#89,165
of 421,013 outputs
Outputs of similar age from Molecular Medicine
#16
of 95 outputs
Altmetric has tracked 21,131,454 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,051 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has done well, scoring higher than 87% 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 421,013 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 78% of its contemporaries.
We're also able to compare this research output to 95 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.