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X Demographics
Mendeley readers
Attention Score in Context
| Title |
DNA methylation subtypes guiding prognostic assessment and linking to responses the DNA methyltransferase inhibitor SGI-110 in urothelial carcinoma
|
|---|---|
| Published in |
BMC Medicine, July 2022
|
| DOI | 10.1186/s12916-022-02426-w |
| Pubmed ID | |
| Authors |
Juan Li, Yuan Liang, Jian Fan, Chunru Xu, Bao Guan, Jianye Zhang, Bin Guo, Yue Shi, Ping Wang, Yezhen Tan, Qi Zhang, Changwei Yuan, Yucai Wu, Liqun Zhou, Weimin Ci, Xuesong Li |
X Demographics
The data shown below were collected from the profiles of 6 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 Kingdom | 2 | 33% |
| India | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 33% |
| Practitioners (doctors, other healthcare professionals) | 2 | 33% |
| Scientists | 1 | 17% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 6 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 1 | 17% |
| Professor > Associate Professor | 1 | 17% |
| Researcher | 1 | 17% |
| Unknown | 3 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 2 | 33% |
| Unknown | 4 | 67% |
Attention Score in Context
This research output has an Altmetric Attention Score of 30. 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 12 August 2022.
All research outputs
#1,217,664
of 24,257,370 outputs
Outputs from BMC Medicine
#846
of 3,723 outputs
Outputs of similar age
#27,373
of 422,640 outputs
Outputs of similar age from BMC Medicine
#12
of 90 outputs
Altmetric has tracked 24,257,370 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 3,723 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 45.2. 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 422,640 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 93% of its contemporaries.
We're also able to compare this research output to 90 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.