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A data repository and analysis framework for spontaneous neural activity recordings in developing retina

Overview of attention for article published in Giga Science, March 2014
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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 (96th percentile)

Mentioned by

news
3 news outlets
blogs
2 blogs
twitter
24 X users
peer_reviews
2 peer review sites
googleplus
3 Google+ users

Citations

dimensions_citation
32 Dimensions

Readers on

mendeley
75 Mendeley
citeulike
1 CiteULike
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Title
A data repository and analysis framework for spontaneous neural activity recordings in developing retina
Published in
Giga Science, March 2014
DOI 10.1186/2047-217x-3-3
Pubmed ID
Authors

Stephen John Eglen, Michael Weeks, Mark Jessop, Jennifer Simonotto, Tom Jackson, Evelyne Sernagor

X Demographics

X Demographics

The data shown below were collected from the profiles of 24 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 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 4%
Hong Kong 2 3%
France 1 1%
Switzerland 1 1%
Germany 1 1%
Argentina 1 1%
United Kingdom 1 1%
Japan 1 1%
Denmark 1 1%
Other 0 0%
Unknown 63 84%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 23%
Researcher 16 21%
Professor > Associate Professor 8 11%
Other 7 9%
Student > Bachelor 6 8%
Other 17 23%
Unknown 4 5%
Readers by discipline Count As %
Neuroscience 16 21%
Agricultural and Biological Sciences 16 21%
Computer Science 12 16%
Engineering 6 8%
Social Sciences 3 4%
Other 17 23%
Unknown 5 7%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 50. 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 November 2023.
All research outputs
#839,255
of 25,373,627 outputs
Outputs from Giga Science
#105
of 1,168 outputs
Outputs of similar age
#7,947
of 238,081 outputs
Outputs of similar age from Giga Science
#1
of 4 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,168 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.8. This one has done particularly well, scoring higher than 91% 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 238,081 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 96% of its contemporaries.
We're also able to compare this research output to 4 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