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Imaging mass spectrometry enables molecular profiling of mouse and human pancreatic tissue

Overview of attention for article published in Diabetologia, April 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

twitter
29 X users

Citations

dimensions_citation
33 Dimensions

Readers on

mendeley
82 Mendeley
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Title
Imaging mass spectrometry enables molecular profiling of mouse and human pancreatic tissue
Published in
Diabetologia, April 2019
DOI 10.1007/s00125-019-4855-8
Pubmed ID
Authors

Boone M. Prentice, Nathaniel J. Hart, Neil Phillips, Rachana Haliyur, Audra Judd, Radhika Armandala, Jeffrey M. Spraggins, Cindy L. Lowe, Kelli L. Boyd, Roland W. Stein, Christopher V. Wright, Jeremy L. Norris, Alvin C. Powers, Marcela Brissova, Richard M. Caprioli

X Demographics

X Demographics

The data shown below were collected from the profiles of 29 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 82 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 30%
Researcher 10 12%
Student > Master 6 7%
Student > Doctoral Student 5 6%
Student > Bachelor 4 5%
Other 14 17%
Unknown 18 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 22 27%
Chemistry 12 15%
Agricultural and Biological Sciences 7 9%
Medicine and Dentistry 4 5%
Neuroscience 4 5%
Other 11 13%
Unknown 22 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 25 April 2019.
All research outputs
#2,014,785
of 23,140,503 outputs
Outputs from Diabetologia
#1,073
of 5,099 outputs
Outputs of similar age
#47,644
of 351,941 outputs
Outputs of similar age from Diabetologia
#23
of 59 outputs
Altmetric has tracked 23,140,503 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,099 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.7. This one has done well, scoring higher than 78% 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 351,941 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 86% of its contemporaries.
We're also able to compare this research output to 59 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 61% of its contemporaries.