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X Demographics
Mendeley readers
Attention Score in Context
Title |
Distinct Patterns of Blood Cytokines Beyond a Cytokine Storm Predict Mortality in COVID-19
|
---|---|
Published in |
Journal of Inflammation Research, September 2021
|
DOI | 10.2147/jir.s320685 |
Pubmed ID | |
Authors |
Christian Herr, Sebastian Mang, Bahareh Mozafari, Katharina Guenther, Thimoteus Speer, Martina Seibert, Sanjay Kumar Srikakulam, Christoph Beisswenger, Felix Ritzmann, Andreas Keller, Rolf Mueller, Sigrun Smola, Dominic Eisinger, Michael Zemlin, Guy Danziger, Thomas Volk, Sabrina Hoersch, Marcin Krawczyk, Frank Lammert, Thomas Adams, Gudrun Wagenpfeil, Michael Kindermann, Constantin Marcu, Zuhair Wolf Dietrich Ataya, Marc Mittag, Konrad Schwarzkopf, Florian Custodis, Daniel Grandt, Harald Schaefer, Kai Eltges, Philipp M Lepper, Robert Bals |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 20% |
Serbia | 1 | 20% |
United States | 1 | 20% |
Unknown | 2 | 40% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 48 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 6 | 13% |
Student > Ph. D. Student | 5 | 10% |
Unspecified | 3 | 6% |
Researcher | 3 | 6% |
Student > Bachelor | 2 | 4% |
Other | 7 | 15% |
Unknown | 22 | 46% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 7 | 15% |
Biochemistry, Genetics and Molecular Biology | 5 | 10% |
Unspecified | 3 | 6% |
Economics, Econometrics and Finance | 2 | 4% |
Immunology and Microbiology | 2 | 4% |
Other | 5 | 10% |
Unknown | 24 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 16 September 2021.
All research outputs
#7,259,108
of 24,162,141 outputs
Outputs from Journal of Inflammation Research
#166
of 877 outputs
Outputs of similar age
#139,785
of 419,267 outputs
Outputs of similar age from Journal of Inflammation Research
#14
of 87 outputs
Altmetric has tracked 24,162,141 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 877 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.6. This one has done well, scoring higher than 81% 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 419,267 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 87 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.