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EEG-IP: an international infant EEG data integration platform for the study of risk and resilience in autism and related conditions

Overview of attention for article published in Molecular Medicine, May 2020
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

twitter
4 X users

Citations

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17 Dimensions

Readers on

mendeley
55 Mendeley
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Title
EEG-IP: an international infant EEG data integration platform for the study of risk and resilience in autism and related conditions
Published in
Molecular Medicine, May 2020
DOI 10.1186/s10020-020-00149-3
Pubmed ID
Authors

Stefon van Noordt, James A. Desjardins, Scott Huberty, Lina Abou-Abbas, Sara Jane Webb, April R. Levin, Sidney J. Segalowitz, Alan C. Evans, Mayada Elsabbagh

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 55 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 13%
Student > Master 7 13%
Researcher 6 11%
Student > Doctoral Student 6 11%
Student > Bachelor 2 4%
Other 9 16%
Unknown 18 33%
Readers by discipline Count As %
Medicine and Dentistry 8 15%
Psychology 7 13%
Engineering 6 11%
Computer Science 3 5%
Biochemistry, Genetics and Molecular Biology 2 4%
Other 9 16%
Unknown 20 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 18 November 2022.
All research outputs
#13,644,415
of 23,138,859 outputs
Outputs from Molecular Medicine
#747
of 1,155 outputs
Outputs of similar age
#193,077
of 382,717 outputs
Outputs of similar age from Molecular Medicine
#6
of 16 outputs
Altmetric has tracked 23,138,859 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,155 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.3. This one is in the 34th percentile – i.e., 34% 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 382,717 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
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 gotten more attention than average, scoring higher than 62% of its contemporaries.