↓ Skip to main content

Large‐scale data decipher children's scale errors: A meta‐analytic approach using the zero‐inflated Poisson models

Overview of attention for article published in Developmental Science, March 2024
Altmetric Badge

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 (95th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

news
1 news outlet
twitter
44 X users
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Large‐scale data decipher children's scale errors: A meta‐analytic approach using the zero‐inflated Poisson models
Published in
Developmental Science, March 2024
DOI 10.1111/desc.13499
Pubmed ID
Authors

Hiromichi Hagihara, Mikako Ishibashi, Yusuke Moriguchi, Yuta Shinya

X Demographics

X Demographics

The data shown below were collected from the profiles of 44 X users who shared this research output. Click here to find out more about how the information was compiled.
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 38. 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 14 April 2024.
All research outputs
#1,087,146
of 25,711,194 outputs
Outputs from Developmental Science
#210
of 1,694 outputs
Outputs of similar age
#10,016
of 216,323 outputs
Outputs of similar age from Developmental Science
#2
of 16 outputs
Altmetric has tracked 25,711,194 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,694 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.6. This one has done well, scoring higher than 87% 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 216,323 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 95% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.