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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Machine learning predicts the prognosis of breast cancer patients with initial bone metastases
|
|---|---|
| Published in |
Frontiers in Public Health, September 2022
|
| DOI | 10.3389/fpubh.2022.1003976 |
| Pubmed ID | |
| Authors |
Chaofan Li, Mengjie Liu, Jia Li, Weiwei Wang, Cong Feng, Yifan Cai, Fei Wu, Xixi Zhao, Chong Du, Yinbin Zhang, Yusheng Wang, Shuqun Zhang, Jingkun Qu |
X Demographics
The data shown below were collected from the profiles of 4 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 | 25% |
| Switzerland | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 1 | 6% |
| Student > Doctoral Student | 1 | 6% |
| Student > Master | 1 | 6% |
| Unknown | 15 | 83% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 6% |
| Computer Science | 1 | 6% |
| Medicine and Dentistry | 1 | 6% |
| Unknown | 15 | 83% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 13 October 2022.
All research outputs
#16,734,975
of 24,614,554 outputs
Outputs from Frontiers in Public Health
#5,780
of 12,831 outputs
Outputs of similar age
#247,039
of 428,039 outputs
Outputs of similar age from Frontiers in Public Health
#551
of 1,418 outputs
Altmetric has tracked 24,614,554 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,831 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has gotten more attention than average, scoring higher than 50% 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 428,039 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,418 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 54% of its contemporaries.