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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Landscape of molecular crosstalk between SARS-CoV-2 infection and cardiovascular diseases: emphasis on mitochondrial dysfunction and immune-inflammation
|
|---|---|
| Published in |
Journal of Translational Medicine, December 2023
|
| DOI | 10.1186/s12967-023-04787-z |
| Pubmed ID | |
| Authors |
Shiyu Dai, Ting Cao, Han Shen, Xuejing Zong, Wenyu Gu, Hanghang Li, Lei Wei, Haoyue Huang, Yunsheng Yu, Yihuan Chen, Wenxue Ye, Fei Hua, Hongyou Fan, Zhenya Shen |
X Demographics
The data shown below were collected from the profiles of 197 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 45 | 23% |
| Spain | 13 | 7% |
| United States | 1 | <1% |
| Côte d'Ivoire | 1 | <1% |
| Venezuela, Bolivarian Republic of | 1 | <1% |
| Germany | 1 | <1% |
| Unknown | 135 | 69% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 189 | 96% |
| Scientists | 5 | 3% |
| Practitioners (doctors, other healthcare professionals) | 2 | 1% |
| Science communicators (journalists, bloggers, editors) | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 1 | 25% |
| Student > Doctoral Student | 1 | 25% |
| Unknown | 2 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 2 | 50% |
| Unknown | 2 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 112. 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 11 January 2024.
All research outputs
#385,717
of 25,937,538 outputs
Outputs from Journal of Translational Medicine
#86
of 4,752 outputs
Outputs of similar age
#6,171
of 367,303 outputs
Outputs of similar age from Journal of Translational Medicine
#1
of 134 outputs
Altmetric has tracked 25,937,538 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,752 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has done particularly well, scoring higher than 98% 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 367,303 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 98% of its contemporaries.
We're also able to compare this research output to 134 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 99% of its contemporaries.