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Quality control of imbalanced mass spectra from isotopic labeling experiments

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

  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
6 tweeters

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
3 Mendeley
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Title
Quality control of imbalanced mass spectra from isotopic labeling experiments
Published in
BMC Bioinformatics, November 2019
DOI 10.1186/s12859-019-3170-1
Pubmed ID
Authors

Tianjun Li, Long Chen, Min Gan

Twitter Demographics

The data shown below were collected from the profiles of 6 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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 67%
Student > Postgraduate 1 33%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 1 33%
Biochemistry, Genetics and Molecular Biology 1 33%
Unknown 1 33%

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 04 December 2019.
All research outputs
#8,347,935
of 15,161,635 outputs
Outputs from BMC Bioinformatics
#3,066
of 5,568 outputs
Outputs of similar age
#152,685
of 324,773 outputs
Outputs of similar age from BMC Bioinformatics
#311
of 591 outputs
Altmetric has tracked 15,161,635 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,568 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one is in the 41st percentile – i.e., 41% 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 324,773 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 51% of its contemporaries.
We're also able to compare this research output to 591 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.