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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Computer-assisted quantification of tumor-associated collagen signatures to improve the prognosis prediction of breast cancer
|
|---|---|
| Published in |
BMC Medicine, November 2021
|
| DOI | 10.1186/s12916-021-02146-7 |
| Pubmed ID | |
| Authors |
Gangqin Xi, Lida Qiu, Shuoyu Xu, Wenhui Guo, Fangmeng Fu, Deyong Kang, Liqin Zheng, Jiajia He, Qingyuan Zhang, Lianhuang Li, Chuan Wang, Jianxin Chen |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 3 | 15% |
| Student > Master | 3 | 15% |
| Researcher | 3 | 15% |
| Student > Ph. D. Student | 2 | 10% |
| Student > Doctoral Student | 2 | 10% |
| Other | 2 | 10% |
| Unknown | 5 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 3 | 15% |
| Biochemistry, Genetics and Molecular Biology | 3 | 15% |
| Engineering | 3 | 15% |
| Medicine and Dentistry | 3 | 15% |
| Agricultural and Biological Sciences | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 6 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 21 September 2023.
All research outputs
#7,834,302
of 25,523,622 outputs
Outputs from BMC Medicine
#2,856
of 4,042 outputs
Outputs of similar age
#163,898
of 515,653 outputs
Outputs of similar age from BMC Medicine
#48
of 79 outputs
Altmetric has tracked 25,523,622 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 4,042 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 45.7. This one is in the 28th percentile – i.e., 28% of its peers scored the same or lower than it.
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 515,653 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 67% of its contemporaries.
We're also able to compare this research output to 79 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.