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Affinity Diversification of a Polymer Probe for Pattern-recognition-based Biosensing Using Chemical Additives

Overview of attention for article published in Analytical Sciences, January 2021
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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 (75th percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
6 Mendeley
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Title
Affinity Diversification of a Polymer Probe for Pattern-recognition-based Biosensing Using Chemical Additives
Published in
Analytical Sciences, January 2021
DOI 10.2116/analsci.20scp23
Pubmed ID
Authors

Hiroki Okada, Masahiro Mimura, Shunsuke Tomita, Ryoji Kurita

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 17%
Student > Bachelor 1 17%
Student > Doctoral Student 1 17%
Unknown 3 50%
Readers by discipline Count As %
Nursing and Health Professions 1 17%
Materials Science 1 17%
Chemistry 1 17%
Unknown 3 50%
Attention Score in Context

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 19 June 2021.
All research outputs
#12,917,693
of 23,287,285 outputs
Outputs from Analytical Sciences
#577
of 939 outputs
Outputs of similar age
#215,840
of 505,541 outputs
Outputs of similar age from Analytical Sciences
#4
of 16 outputs
Altmetric has tracked 23,287,285 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 939 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 38th percentile – i.e., 38% 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 505,541 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 16 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.