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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Smooth muscle cell fate decisions decipher a high-resolution heterogeneity within atherosclerosis molecular subtypes
|
|---|---|
| Published in |
Journal of Translational Medicine, December 2022
|
| DOI | 10.1186/s12967-022-03795-9 |
| Pubmed ID | |
| Authors |
Ge Zhang, Zaoqu Liu, Jinhai Deng, Long Liu, Yu Li, Siyuan Weng, Chunguang Guo, Zhaokai Zhou, Li Zhang, Xiaofang Wang, Gangqiong Liu, Jiacheng Guo, Jing Bai, Yunzhe Wang, Youyou Du, Tao-Sheng Li, Junnan Tang, Jinying Zhang |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 20% |
| Unspecified | 2 | 13% |
| Professor | 1 | 7% |
| Unknown | 9 | 60% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 2 | 13% |
| Biochemistry, Genetics and Molecular Biology | 1 | 7% |
| Business, Management and Accounting | 1 | 7% |
| Engineering | 1 | 7% |
| Unknown | 10 | 67% |
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 07 December 2022.
All research outputs
#7,680,234
of 23,371,053 outputs
Outputs from Journal of Translational Medicine
#1,288
of 4,135 outputs
Outputs of similar age
#140,465
of 440,104 outputs
Outputs of similar age from Journal of Translational Medicine
#38
of 132 outputs
Altmetric has tracked 23,371,053 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,135 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has gotten more attention than average, scoring higher than 64% 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 440,104 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 66% of its contemporaries.
We're also able to compare this research output to 132 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.