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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Decoding the multicellular ecosystem of vena caval tumor thrombus in clear cell renal cell carcinoma by single-cell RNA sequencing
|
|---|---|
| Published in |
Genome Biology, March 2022
|
| DOI | 10.1186/s13059-022-02651-9 |
| Pubmed ID | |
| Authors |
Yue Shi, Qi Zhang, Hai Bi, Min Lu, Yezhen Tan, Daojia Zou, Liyuan Ge, Zhigang Chen, Cheng Liu, Weimin Ci, Lulin Ma |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | 20% |
| Austria | 1 | 20% |
| United Kingdom | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 29 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 24% |
| Researcher | 3 | 10% |
| Student > Master | 3 | 10% |
| Professor | 2 | 7% |
| Student > Bachelor | 2 | 7% |
| Other | 1 | 3% |
| Unknown | 11 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 17% |
| Agricultural and Biological Sciences | 2 | 7% |
| Medicine and Dentistry | 2 | 7% |
| Immunology and Microbiology | 2 | 7% |
| Environmental Science | 1 | 3% |
| Other | 4 | 14% |
| Unknown | 13 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 26. 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 August 2022.
All research outputs
#1,475,821
of 25,392,582 outputs
Outputs from Genome Biology
#1,178
of 4,470 outputs
Outputs of similar age
#35,260
of 447,445 outputs
Outputs of similar age from Genome Biology
#28
of 60 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,470 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 73% 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 447,445 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 92% of its contemporaries.
We're also able to compare this research output to 60 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 53% of its contemporaries.