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Noninvasive Detection of Differential Water Content Inside Biological Samples Using Deep Raman Spectroscopy

Overview of attention for article published in Analytical Chemistry, June 2020
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

twitter
9 tweeters

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
4 Mendeley
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Title
Noninvasive Detection of Differential Water Content Inside Biological Samples Using Deep Raman Spectroscopy
Published in
Analytical Chemistry, June 2020
DOI 10.1021/acs.analchem.0c01842
Pubmed ID
Authors

Adrian Ghita, Thomas Hubbard, Pavel Matousek, Nicholas Stone

Twitter Demographics

The data shown below were collected from the profiles of 9 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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 25%
Student > Ph. D. Student 1 25%
Student > Bachelor 1 25%
Student > Doctoral Student 1 25%
Readers by discipline Count As %
Chemistry 2 50%
Chemical Engineering 1 25%
Unknown 1 25%

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 26 August 2020.
All research outputs
#4,609,670
of 17,043,172 outputs
Outputs from Analytical Chemistry
#5,630
of 23,027 outputs
Outputs of similar age
#99,680
of 293,157 outputs
Outputs of similar age from Analytical Chemistry
#95
of 365 outputs
Altmetric has tracked 17,043,172 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 23,027 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done well, scoring higher than 75% 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 293,157 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 65% of its contemporaries.
We're also able to compare this research output to 365 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 74% of its contemporaries.