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Protein Microarrays for Disease Analysis

Overview of attention for book
Protein Microarrays for Disease Analysis
Springer US
Attention for Chapter: Profiling Responses to Devise Novel and Prognostic Markers Using High-Density
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Mentioned by

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1 X user

Citations

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2 Dimensions

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2 Mendeley
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Chapter title
Profiling Responses to Devise Novel and Prognostic Markers Using High-Density
Book title
Protein Microarrays for Disease Analysis
Published in
Methods in molecular biology, June 2021
DOI 10.1007/978-1-0716-1562-1_14
Pubmed ID
Book ISBNs
978-1-07-161561-4, 978-1-07-161562-1
Authors

Shabarni Gupta, Arghya Banerjee, Parvez Syed, Sanjeeva Srivastava, Gupta, Shabarni, Banerjee, Arghya, Syed, Parvez, Srivastava, Sanjeeva

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 50%
Student > Postgraduate 1 50%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 50%
Neuroscience 1 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 30 August 2021.
All research outputs
#18,802,560
of 23,302,246 outputs
Outputs from Methods in molecular biology
#8,090
of 13,338 outputs
Outputs of similar age
#321,923
of 446,700 outputs
Outputs of similar age from Methods in molecular biology
#194
of 340 outputs
Altmetric has tracked 23,302,246 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,338 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 24th percentile – i.e., 24% 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 446,700 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 340 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.