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Skeletal variation in extant species enables systematic identification of New Zealand’s large, subfossil diplodactylids

Overview of attention for article published in BMC Ecology and Evolution, April 2021
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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 (97th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
11 news outlets
blogs
1 blog
twitter
6 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
13 Mendeley
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Title
Skeletal variation in extant species enables systematic identification of New Zealand’s large, subfossil diplodactylids
Published in
BMC Ecology and Evolution, April 2021
DOI 10.1186/s12862-021-01808-7
Pubmed ID
Authors

Lachie Scarsbrook, Emma Sherratt, Rodney A. Hitchmough, Nicolas J. Rawlence

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 15%
Student > Doctoral Student 1 8%
Professor 1 8%
Student > Bachelor 1 8%
Student > Ph. D. Student 1 8%
Other 1 8%
Unknown 6 46%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 23%
Nursing and Health Professions 1 8%
Biochemistry, Genetics and Molecular Biology 1 8%
Earth and Planetary Sciences 1 8%
Social Sciences 1 8%
Other 0 0%
Unknown 6 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 92. 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 30 January 2024.
All research outputs
#454,043
of 25,260,058 outputs
Outputs from BMC Ecology and Evolution
#80
of 3,279 outputs
Outputs of similar age
#12,721
of 434,290 outputs
Outputs of similar age from BMC Ecology and Evolution
#3
of 61 outputs
Altmetric has tracked 25,260,058 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,279 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.1. This one has done particularly well, scoring higher than 97% 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 434,290 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 97% of its contemporaries.
We're also able to compare this research output to 61 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 96% of its contemporaries.