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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Single-Cell RNA Sequencing Reveals Smooth Muscle Cells Heterogeneity in Experimental Aortic Dissection
|
|---|---|
| Published in |
Frontiers in Genetics, August 2022
|
| DOI | 10.3389/fgene.2022.836593 |
| Pubmed ID | |
| Authors |
Cheng Xu, Xiaowei Liu, Xiaoxin Fang, Lei Yu, Hui Chong Lau, Danlei Li, Xiaoman Liu, Haili Li, Justin Ren, Baohui Xu, Jianjun Jiang, Lijiang Tang, Xiaofeng Chen |
X Demographics
The data shown below were collected from the profiles of 7 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 | 1 | 14% |
| Canada | 1 | 14% |
| Italy | 1 | 14% |
| Switzerland | 1 | 14% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 86% |
| Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 12 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 25% |
| Researcher | 2 | 17% |
| Professor > Associate Professor | 1 | 8% |
| Student > Doctoral Student | 1 | 8% |
| Unspecified | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 4 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 2 | 17% |
| Medicine and Dentistry | 2 | 17% |
| Biochemistry, Genetics and Molecular Biology | 1 | 8% |
| Immunology and Microbiology | 1 | 8% |
| Engineering | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 5 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 15 September 2022.
All research outputs
#13,813,746
of 24,450,293 outputs
Outputs from Frontiers in Genetics
#2,830
of 13,173 outputs
Outputs of similar age
#161,721
of 421,653 outputs
Outputs of similar age from Frontiers in Genetics
#101
of 1,040 outputs
Altmetric has tracked 24,450,293 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,173 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 77% 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 421,653 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 61% of its contemporaries.
We're also able to compare this research output to 1,040 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.