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Systematic evaluation of repeatability of IR-MALDESI-MS and normalization strategies for correcting the analytical variation and improving image quality

Overview of attention for article published in Analytical & Bioanalytical Chemistry, June 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (56th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

twitter
6 tweeters

Readers on

mendeley
4 Mendeley
Title
Systematic evaluation of repeatability of IR-MALDESI-MS and normalization strategies for correcting the analytical variation and improving image quality
Published in
Analytical & Bioanalytical Chemistry, June 2019
DOI 10.1007/s00216-019-01953-5
Pubmed ID
Authors

Anqi Tu, David C. Muddiman

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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 50%
Other 1 25%
Student > Bachelor 1 25%
Readers by discipline Count As %
Chemistry 2 50%
Unspecified 1 25%
Design 1 25%

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 26 August 2019.
All research outputs
#7,109,815
of 13,555,081 outputs
Outputs from Analytical & Bioanalytical Chemistry
#1,876
of 5,166 outputs
Outputs of similar age
#107,120
of 249,346 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#50
of 222 outputs
Altmetric has tracked 13,555,081 research outputs across all sources so far. This one is in the 47th percentile – i.e., 47% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,166 research outputs from this source. They receive a mean Attention Score of 2.5. This one has gotten more attention than average, scoring higher than 63% 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 249,346 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 222 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.