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X Demographics
Mendeley readers
Attention Score in Context
Title |
Single-nucleus transcriptome analysis of human brain immune response in patients with severe COVID-19
|
---|---|
Published in |
Genome Medicine, July 2021
|
DOI | 10.1186/s13073-021-00933-8 |
Pubmed ID | |
Authors |
John F. Fullard, Hao-Chih Lee, Georgios Voloudakis, Shengbao Suo, Behnam Javidfar, Zhiping Shao, Cyril Peter, Wen Zhang, Shan Jiang, André Corvelo, Heather Wargnier, Emma Woodoff-Leith, Dushyant P. Purohit, Sadhna Ahuja, Nadejda M. Tsankova, Nathalie Jette, Gabriel E. Hoffman, Schahram Akbarian, Mary Fowkes, John F. Crary, Guo-Cheng Yuan, Panos Roussos |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Colombia | 1 | 11% |
United Kingdom | 1 | 11% |
Unknown | 7 | 78% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 67% |
Scientists | 3 | 33% |
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 % |
---|---|---|
Researcher | 13 | 16% |
Student > Ph. D. Student | 10 | 13% |
Student > Master | 8 | 10% |
Student > Doctoral Student | 5 | 6% |
Student > Postgraduate | 5 | 6% |
Other | 12 | 15% |
Unknown | 27 | 34% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 11 | 14% |
Biochemistry, Genetics and Molecular Biology | 10 | 13% |
Immunology and Microbiology | 9 | 11% |
Neuroscience | 7 | 9% |
Agricultural and Biological Sciences | 2 | 3% |
Other | 10 | 13% |
Unknown | 31 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 April 2023.
All research outputs
#7,231,558
of 25,446,666 outputs
Outputs from Genome Medicine
#1,157
of 1,589 outputs
Outputs of similar age
#142,412
of 446,404 outputs
Outputs of similar age from Genome Medicine
#28
of 44 outputs
Altmetric has tracked 25,446,666 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 1,589 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.7. This one is in the 26th percentile – i.e., 26% of its peers scored the same or lower than it.
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 446,404 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 67% of its contemporaries.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.