↓ Skip to main content

A multi-analytical approach for the identification of the natural resin from the Ming tomb in Shaanxi, China

Overview of attention for article published in Heritage Science, September 2021
Altmetric Badge

Mentioned by

twitter
1 tweeter

Readers on

mendeley
1 Mendeley
Title
A multi-analytical approach for the identification of the natural resin from the Ming tomb in Shaanxi, China
Published in
Heritage Science, September 2021
DOI 10.1186/s40494-021-00586-1
Authors

Lang Guo, Yaxu Zhang, Liqin Wang, Xing Zhao, Fuwei Yang, Meiman Peng, Jinyi Guo, Kun Li, Xiaomeng Wang

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 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 100%
Readers by discipline Count As %
Unknown 1 100%

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 15 September 2021.
All research outputs
#15,338,552
of 19,148,527 outputs
Outputs from Heritage Science
#298
of 353 outputs
Outputs of similar age
#198,377
of 287,484 outputs
Outputs of similar age from Heritage Science
#1
of 1 outputs
Altmetric has tracked 19,148,527 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 353 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.3. This one is in the 9th percentile – i.e., 9% 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 287,484 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% 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