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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Multiscale network analysis identifies potential receptors for SARS‐CoV‐2 and reveals their tissue‐specific and age‐dependent expression
|
|---|---|
| Published in |
Febs Letters, April 2023
|
| DOI | 10.1002/1873-3468.14613 |
| Pubmed ID | |
| Authors |
Christian V. Forst, Lu Zeng, Qian Wang, Xianxiao Zhou, Sezen Vatansever, Peng Xu, Won‐Min Song, Zhidong Tu, Bin Zhang |
| Abstract |
The coronavirus disease 2019 (COVID-19) pandemic has affected tens of millions of individuals and caused hundreds of thousands of deaths worldwide. Here, we present a comprehensive, multiscale network analysis of the transcriptional response to the virus. In particular, we focused on key regulators, cell receptors, and host processes that were hijacked by the virus for its advantage. ACE2-controlled processes involved CD300e (a TYROBP receptor) as a key regulator and the activation of IL-2 pro-inflammatory cytokine signaling. We further investigated the age-dependency of such receptors in different tissues. In summary, this study provides novel insights into the gene regulatory organization during the SARS-CoV-2 infection and the tissue-specific, age-dependent expression of the cell receptors involved in COVID-19. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 8% |
| Unknown | 11 | 92% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 83% |
| Practitioners (doctors, other healthcare professionals) | 1 | 8% |
| Scientists | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 6 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 33% |
| Student > Bachelor | 1 | 17% |
| Student > Master | 1 | 17% |
| Unknown | 2 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 2 | 33% |
| Immunology and Microbiology | 1 | 17% |
| Unknown | 3 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 32. 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 26 May 2023.
All research outputs
#1,282,812
of 26,284,763 outputs
Outputs from Febs Letters
#83
of 14,604 outputs
Outputs of similar age
#26,692
of 429,877 outputs
Outputs of similar age from Febs Letters
#2
of 35 outputs
Altmetric has tracked 26,284,763 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,604 research outputs from this source. They receive a mean Attention Score of 4.8. 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 429,877 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 93% of its contemporaries.
We're also able to compare this research output to 35 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 94% of its contemporaries.