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How to balance the bioinformatics data: pseudo-negative sampling

Overview of attention for article published in BMC Bioinformatics, December 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (56th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

Mentioned by

patent
1 patent

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
18 Mendeley
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Title
How to balance the bioinformatics data: pseudo-negative sampling
Published in
BMC Bioinformatics, December 2019
DOI 10.1186/s12859-019-3269-4
Pubmed ID
Authors

Yongqing Zhang, Shaojie Qiao, Rongzhao Lu, Nan Han, Dingxiang Liu, Jiliu Zhou

Mendeley readers

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 %
Researcher 4 22%
Student > Master 2 11%
Student > Ph. D. Student 1 6%
Lecturer 1 6%
Student > Bachelor 1 6%
Other 1 6%
Unknown 8 44%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 11%
Agricultural and Biological Sciences 2 11%
Computer Science 2 11%
Mathematics 1 6%
Neuroscience 1 6%
Other 0 0%
Unknown 10 56%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 09 June 2020.
All research outputs
#7,645,563
of 23,278,709 outputs
Outputs from BMC Bioinformatics
#3,070
of 7,369 outputs
Outputs of similar age
#164,730
of 458,521 outputs
Outputs of similar age from BMC Bioinformatics
#85
of 218 outputs
Altmetric has tracked 23,278,709 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,369 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. 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 458,521 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 56% of its contemporaries.
We're also able to compare this research output to 218 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.