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A novel LC–MS method using collagen marker peptides for species identification of glue applicable to samples with multiple animal origins

Overview of attention for article published in Heritage Science, July 2018
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Mentioned by

twitter
1 tweeter

Citations

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3 Dimensions

Readers on

mendeley
18 Mendeley
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Title
A novel LC–MS method using collagen marker peptides for species identification of glue applicable to samples with multiple animal origins
Published in
Heritage Science, July 2018
DOI 10.1186/s40494-018-0209-y
Authors

Yuki Kumazawa, Yuki Taga, Miho Takashima, Shunji Hattori

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 22%
Student > Bachelor 3 17%
Student > Ph. D. Student 3 17%
Researcher 3 17%
Other 2 11%
Other 2 11%
Unknown 1 6%
Readers by discipline Count As %
Chemistry 7 39%
Agricultural and Biological Sciences 3 17%
Biochemistry, Genetics and Molecular Biology 1 6%
Arts and Humanities 1 6%
Unknown 6 33%

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 13 September 2018.
All research outputs
#11,977,825
of 13,511,578 outputs
Outputs from Heritage Science
#217
of 233 outputs
Outputs of similar age
#227,929
of 264,696 outputs
Outputs of similar age from Heritage Science
#1
of 1 outputs
Altmetric has tracked 13,511,578 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 233 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one is in the 1st percentile – i.e., 1% 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 264,696 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them