↓ Skip to main content

Gene Expression Value Prediction Based on XGBoost Algorithm

Overview of attention for article published in Frontiers in Genetics, November 2019
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
162 Dimensions

Readers on

mendeley
187 Mendeley
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.
Title
Gene Expression Value Prediction Based on XGBoost Algorithm
Published in
Frontiers in Genetics, November 2019
DOI 10.3389/fgene.2019.01077
Pubmed ID
Authors

Wei Li, Yanbin Yin, Xiongwen Quan, Han Zhang

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 187 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 187 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 11%
Student > Bachelor 15 8%
Student > Master 12 6%
Researcher 11 6%
Lecturer 9 5%
Other 23 12%
Unknown 96 51%
Readers by discipline Count As %
Computer Science 37 20%
Engineering 9 5%
Biochemistry, Genetics and Molecular Biology 7 4%
Agricultural and Biological Sciences 4 2%
Mathematics 3 2%
Other 25 13%
Unknown 102 55%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 15 April 2021.
All research outputs
#14,180,115
of 23,177,498 outputs
Outputs from Frontiers in Genetics
#3,600
of 12,205 outputs
Outputs of similar age
#191,490
of 359,987 outputs
Outputs of similar age from Frontiers in Genetics
#138
of 368 outputs
Altmetric has tracked 23,177,498 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,205 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 67% 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 359,987 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 368 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 59% of its contemporaries.