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Analytical techniques for multiplex analysis of protein biomarkers

Overview of attention for article published in Expert Review of Proteomics, May 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

twitter
8 tweeters

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
47 Mendeley
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Title
Analytical techniques for multiplex analysis of protein biomarkers
Published in
Expert Review of Proteomics, May 2020
DOI 10.1080/14789450.2020.1763174
Pubmed ID
Authors

Alain Van Gool, Fernado Corrales, Mirjana Čolović, Danijela Krstić, Begona Oliver-Martos, Eva Martínez-Cáceres, Ivone Jakasa, Goran Gajski, Virginie Brun, Kyriacos Kyriacou, Izabela Burzynska-Pedziwiatr, Lucyna Alicja Wozniak, Stephan Nierkens, César Pascual García, Jaroslav Katrlik, Zanka Bojic-Trbojevic, Jan Vacek, Alicia Llorente, Felicia Antohe, Viorel Suica, Guillaume Suarez, Ruben t’Kindt, Petra Martin, Deborah Penque, Ines Lanca Martins, Ede Bodoki, Bogdan-Cezar Iacob, Eda Aydindogan, Suna Timur, John Allinson, Christopher Sutton, Theo Luider, Saara Wittfooth, Marei Sammar

Twitter Demographics

The data shown below were collected from the profiles of 8 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 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 19%
Student > Ph. D. Student 7 15%
Student > Postgraduate 5 11%
Student > Bachelor 5 11%
Professor 4 9%
Other 9 19%
Unknown 8 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 21%
Chemistry 7 15%
Medicine and Dentistry 6 13%
Business, Management and Accounting 3 6%
Neuroscience 2 4%
Other 6 13%
Unknown 13 28%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 05 April 2021.
All research outputs
#4,980,225
of 18,096,829 outputs
Outputs from Expert Review of Proteomics
#122
of 611 outputs
Outputs of similar age
#103,371
of 295,700 outputs
Outputs of similar age from Expert Review of Proteomics
#1
of 6 outputs
Altmetric has tracked 18,096,829 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 611 research outputs from this source. They receive a mean Attention Score of 2.9. This one has done well, scoring higher than 79% 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 295,700 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 64% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them