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CoproID predicts the source of coprolites and paleofeces using microbiome composition and host DNA content

Overview of attention for article published in PeerJ, April 2020
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
33 news outlets
blogs
10 blogs
twitter
75 tweeters
facebook
4 Facebook pages
wikipedia
1 Wikipedia page

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
28 Mendeley
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Title
CoproID predicts the source of coprolites and paleofeces using microbiome composition and host DNA content
Published in
PeerJ, April 2020
DOI 10.7717/peerj.9001
Pubmed ID
Authors

Maxime Borry, Bryan Cordova, Angela Perri, Marsha Wibowo, Tanvi Prasad Honap, Jada Ko, Jie Yu, Kate Britton, Linus Girdland-Flink, Robert C. Power, Ingelise Stuijts, Domingo C. Salazar-García, Courtney Hofman, Richard Hagan, Thérèse Samdapawindé Kagoné, Nicolas Meda, Helene Carabin, David Jacobson, Karl Reinhard, Cecil Lewis, Aleksandar Kostic, Choongwon Jeong, Alexander Herbig, Alexander Hübner, Christina Warinner

Twitter Demographics

The data shown below were collected from the profiles of 75 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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 18%
Researcher 4 14%
Student > Doctoral Student 3 11%
Student > Bachelor 3 11%
Student > Master 2 7%
Other 5 18%
Unknown 6 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 25%
Agricultural and Biological Sciences 4 14%
Arts and Humanities 3 11%
Social Sciences 3 11%
Environmental Science 2 7%
Other 1 4%
Unknown 8 29%

Attention Score in Context

This research output has an Altmetric Attention Score of 356. 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 03 September 2020.
All research outputs
#47,220
of 17,125,476 outputs
Outputs from PeerJ
#85
of 10,117 outputs
Outputs of similar age
#2,232
of 282,234 outputs
Outputs of similar age from PeerJ
#2
of 53 outputs
Altmetric has tracked 17,125,476 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 10,117 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.8. 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 282,234 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 99% of its contemporaries.
We're also able to compare this research output to 53 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 98% of its contemporaries.