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X Demographics
Mendeley readers
Attention Score in Context
Title |
Clinical application of artificial neural network (ANN) modeling to predict BRCA1/2 germline deleterious variants in Chinese bilateral primary breast cancer patients
|
---|---|
Published in |
BMC Cancer, November 2022
|
DOI | 10.1186/s12885-022-10160-y |
Pubmed ID | |
Authors |
Yan Li, Lili Chen, Jinxing Lv, Xiaobin Chen, Bangwei Zeng, Minyan Chen, Wenhui Guo, Yuxiang Lin, Liuwen Yu, Jialin Hou, Jing Li, Peng Zhou, Wenzhe Zhang, Shengmei Li, Xuan Jin, Weifeng Cai, Kun Zhang, Yeyuan Huang, Chuan Wang, Fangmeng Fu |
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 % |
---|---|---|
Peru | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 13 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 3 | 23% |
Professor | 1 | 8% |
Lecturer | 1 | 8% |
Student > Postgraduate | 1 | 8% |
Unknown | 7 | 54% |
Readers by discipline | Count | As % |
---|---|---|
Pharmacology, Toxicology and Pharmaceutical Science | 3 | 23% |
Nursing and Health Professions | 1 | 8% |
Physics and Astronomy | 1 | 8% |
Medicine and Dentistry | 1 | 8% |
Engineering | 1 | 8% |
Other | 0 | 0% |
Unknown | 6 | 46% |
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 03 November 2022.
All research outputs
#19,206,083
of 23,801,276 outputs
Outputs from BMC Cancer
#5,582
of 8,469 outputs
Outputs of similar age
#311,685
of 447,314 outputs
Outputs of similar age from BMC Cancer
#120
of 220 outputs
Altmetric has tracked 23,801,276 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,469 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 21st percentile – i.e., 21% 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 447,314 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 220 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.