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Joint learning improves protein abundance prediction in cancers

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

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)

Mentioned by

twitter
15 tweeters

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
20 Mendeley
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Title
Joint learning improves protein abundance prediction in cancers
Published in
BMC Biology, December 2019
DOI 10.1186/s12915-019-0730-9
Pubmed ID
Authors

Hongyang Li, Omer Siddiqui, Hongjiu Zhang, Yuanfang Guan

Twitter Demographics

The data shown below were collected from the profiles of 15 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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 30%
Student > Bachelor 3 15%
Student > Ph. D. Student 2 10%
Student > Master 2 10%
Lecturer 1 5%
Other 1 5%
Unknown 5 25%
Readers by discipline Count As %
Medicine and Dentistry 5 25%
Agricultural and Biological Sciences 4 20%
Biochemistry, Genetics and Molecular Biology 4 20%
Social Sciences 1 5%
Engineering 1 5%
Other 0 0%
Unknown 5 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 20 November 2021.
All research outputs
#3,480,138
of 19,577,414 outputs
Outputs from BMC Biology
#871
of 1,687 outputs
Outputs of similar age
#99,456
of 411,155 outputs
Outputs of similar age from BMC Biology
#76
of 108 outputs
Altmetric has tracked 19,577,414 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,687 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.1. This one is in the 48th percentile – i.e., 48% 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 411,155 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 108 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.