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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Advances in spatial transcriptomics and related data analysis strategies
|
|---|---|
| Published in |
Journal of Translational Medicine, May 2023
|
| DOI | 10.1186/s12967-023-04150-2 |
| Pubmed ID | |
| Authors |
Jun Du, Yu-Chen Yang, Zhi-Jie An, Ming-Hui Zhang, Xue-Hang Fu, Zou-Fang Huang, Ye Yuan, Jian Hou |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 75 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 13% |
| Student > Ph. D. Student | 8 | 11% |
| Unspecified | 6 | 8% |
| Student > Bachelor | 4 | 5% |
| Student > Doctoral Student | 3 | 4% |
| Other | 7 | 9% |
| Unknown | 37 | 49% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 12 | 16% |
| Agricultural and Biological Sciences | 8 | 11% |
| Unspecified | 6 | 8% |
| Computer Science | 3 | 4% |
| Immunology and Microbiology | 3 | 4% |
| Other | 7 | 9% |
| Unknown | 36 | 48% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 30 January 2024.
All research outputs
#3,488,722
of 25,260,058 outputs
Outputs from Journal of Translational Medicine
#601
of 4,601 outputs
Outputs of similar age
#61,294
of 378,393 outputs
Outputs of similar age from Journal of Translational Medicine
#18
of 109 outputs
Altmetric has tracked 25,260,058 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,601 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one has done well, scoring higher than 86% 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 378,393 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 109 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.