You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
Title |
Identification of lung cancer gene markers through kernel maximum mean discrepancy and information entropy
|
---|---|
Published in |
BMC Medical Genomics, December 2019
|
DOI | 10.1186/s12920-019-0630-4 |
Pubmed ID | |
Authors |
Zhixun Zhao, Hui Peng, Xiaocai Zhang, Yi Zheng, Fang Chen, Liang Fang, Jinyan Li |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 11 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 2 | 18% |
Student > Bachelor | 2 | 18% |
Student > Master | 2 | 18% |
Researcher | 1 | 9% |
Unknown | 4 | 36% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 2 | 18% |
Medicine and Dentistry | 2 | 18% |
Chemistry | 1 | 9% |
Biochemistry, Genetics and Molecular Biology | 1 | 9% |
Unknown | 5 | 45% |
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 21 December 2019.
All research outputs
#19,341,614
of 23,942,830 outputs
Outputs from BMC Medical Genomics
#894
of 1,269 outputs
Outputs of similar age
#341,342
of 462,769 outputs
Outputs of similar age from BMC Medical Genomics
#22
of 38 outputs
Altmetric has tracked 23,942,830 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,269 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 18th percentile – i.e., 18% 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 462,769 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.