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Proteome Analysis of Human Neutrophil Granulocytes From Patients With Monogenic Disease Using Data-independent Acquisition* [S]

Overview of attention for article published in Molecular and Cellular Proteomics, January 2019
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
5 news outlets
twitter
10 X users

Citations

dimensions_citation
53 Dimensions

Readers on

mendeley
66 Mendeley
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Title
Proteome Analysis of Human Neutrophil Granulocytes From Patients With Monogenic Disease Using Data-independent Acquisition* [S]
Published in
Molecular and Cellular Proteomics, January 2019
DOI 10.1074/mcp.ra118.001141
Pubmed ID
Authors

Piotr Grabowski, Sebastian Hesse, Sebastian Hollizeck, Meino Rohlfs, Uta Behrends, Roya Sherkat, Hannah Tamary, Ekrem Ünal, Raz Somech, Türkan Patıroğlu, Stefan Canzar, Jutte van der Werff Ten Bosch, Christoph Klein, Juri Rappsilber

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 66 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 20%
Student > Ph. D. Student 12 18%
Student > Master 8 12%
Student > Bachelor 6 9%
Other 4 6%
Other 8 12%
Unknown 15 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 16 24%
Immunology and Microbiology 10 15%
Medicine and Dentistry 8 12%
Agricultural and Biological Sciences 4 6%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Other 9 14%
Unknown 17 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 44. 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 17 January 2021.
All research outputs
#941,035
of 25,420,980 outputs
Outputs from Molecular and Cellular Proteomics
#64
of 3,223 outputs
Outputs of similar age
#21,859
of 446,506 outputs
Outputs of similar age from Molecular and Cellular Proteomics
#2
of 50 outputs
Altmetric has tracked 25,420,980 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,223 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done particularly well, scoring higher than 98% 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 446,506 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.