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An Ancient Residue Metabolomics-Based Method to Distinguish Use of Closely Related Plant Species in Ancient Pipes

Overview of attention for article published in Frontiers in Molecular Biosciences, June 2020
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#8 of 4,679)
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
23 news outlets
blogs
7 blogs
twitter
18 X users
facebook
1 Facebook page
wikipedia
1 Wikipedia page

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
25 Mendeley
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Title
An Ancient Residue Metabolomics-Based Method to Distinguish Use of Closely Related Plant Species in Ancient Pipes
Published in
Frontiers in Molecular Biosciences, June 2020
DOI 10.3389/fmolb.2020.00133
Pubmed ID
Authors

Korey J. Brownstein, Shannon Tushingham, William J. Damitio, Tung Nguyen, David R. Gang

X Demographics

X Demographics

The data shown below were collected from the profiles of 18 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 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 28%
Student > Ph. D. Student 6 24%
Student > Doctoral Student 3 12%
Professor 1 4%
Student > Master 1 4%
Other 1 4%
Unknown 6 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 16%
Business, Management and Accounting 2 8%
Pharmacology, Toxicology and Pharmaceutical Science 2 8%
Social Sciences 2 8%
Chemical Engineering 1 4%
Other 4 16%
Unknown 10 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 216. 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 August 2023.
All research outputs
#178,516
of 25,365,817 outputs
Outputs from Frontiers in Molecular Biosciences
#8
of 4,679 outputs
Outputs of similar age
#5,707
of 407,107 outputs
Outputs of similar age from Frontiers in Molecular Biosciences
#2
of 104 outputs
Altmetric has tracked 25,365,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,679 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 99% 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 407,107 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 98% of its contemporaries.
We're also able to compare this research output to 104 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 99% of its contemporaries.