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OffsampleAI: artificial intelligence approach to recognize off-sample mass spectrometry images

Overview of attention for article published in BMC Bioinformatics, April 2020
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
3 tweeters

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
34 Mendeley
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Title
OffsampleAI: artificial intelligence approach to recognize off-sample mass spectrometry images
Published in
BMC Bioinformatics, April 2020
DOI 10.1186/s12859-020-3425-x
Pubmed ID
Authors

Katja Ovchinnikova, Vitaly Kovalev, Lachlan Stuart, Theodore Alexandrov

Twitter Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 24%
Researcher 7 21%
Student > Bachelor 4 12%
Student > Doctoral Student 3 9%
Student > Master 3 9%
Other 3 9%
Unknown 6 18%
Readers by discipline Count As %
Chemistry 4 12%
Biochemistry, Genetics and Molecular Biology 3 9%
Agricultural and Biological Sciences 3 9%
Computer Science 3 9%
Medicine and Dentistry 2 6%
Other 9 26%
Unknown 10 29%

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 12 April 2020.
All research outputs
#11,279,410
of 17,421,713 outputs
Outputs from BMC Bioinformatics
#4,374
of 6,158 outputs
Outputs of similar age
#169,482
of 279,681 outputs
Outputs of similar age from BMC Bioinformatics
#9
of 15 outputs
Altmetric has tracked 17,421,713 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,158 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 20th percentile – i.e., 20% 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 279,681 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.