| Title |
COVID-19 infection: the perspectives on immune responses
|
|---|---|
| Published in |
Cell Death & Differentiation, March 2020
|
| DOI | 10.1038/s41418-020-0530-3 |
| Pubmed ID | |
| Authors |
Yufang Shi, Ying Wang, Changshun Shao, Jianan Huang, Jianhe Gan, Xiaoping Huang, Enrico Bucci, Mauro Piacentini, Giuseppe Ippolito, Gerry Melino |
X Demographics
The data shown below were collected from the profiles of 736 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 States | 92 | 13% |
| India | 48 | 7% |
| Spain | 43 | 6% |
| United Kingdom | 31 | 4% |
| Colombia | 21 | 3% |
| Mexico | 16 | 2% |
| Japan | 16 | 2% |
| Chile | 10 | 1% |
| Canada | 9 | 1% |
| Other | 103 | 14% |
| Unknown | 347 | 47% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 609 | 83% |
| Scientists | 76 | 10% |
| Practitioners (doctors, other healthcare professionals) | 37 | 5% |
| Science communicators (journalists, bloggers, editors) | 13 | 2% |
| Unknown | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 2,655 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2655 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 324 | 12% |
| Student > Bachelor | 311 | 12% |
| Student > Ph. D. Student | 257 | 10% |
| Student > Master | 243 | 9% |
| Other | 154 | 6% |
| Other | 555 | 21% |
| Unknown | 811 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 521 | 20% |
| Biochemistry, Genetics and Molecular Biology | 290 | 11% |
| Immunology and Microbiology | 182 | 7% |
| Agricultural and Biological Sciences | 150 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 106 | 4% |
| Other | 436 | 16% |
| Unknown | 970 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 991. 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 19 March 2024.
All research outputs
#16,863
of 25,930,295 outputs
Outputs from Cell Death & Differentiation
#3
of 3,196 outputs
Outputs of similar age
#759
of 394,727 outputs
Outputs of similar age from Cell Death & Differentiation
#1
of 44 outputs
Altmetric has tracked 25,930,295 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,196 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one has done particularly well, scoring higher than 99% 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 394,727 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% 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 has done particularly well, scoring higher than 97% of its contemporaries.