↓ Skip to main content

Model-Based Inference of Synaptic Transmission

Overview of attention for article published in Frontiers in Synaptic Neuroscience, August 2019
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#26 of 442)
  • High Attention Score compared to outputs of the same age (87th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

twitter
29 X users
facebook
1 Facebook page

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
46 Mendeley
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
Model-Based Inference of Synaptic Transmission
Published in
Frontiers in Synaptic Neuroscience, August 2019
DOI 10.3389/fnsyn.2019.00021
Pubmed ID
Authors

Ola Bykowska, Camille Gontier, Anne-Lene Sax, David W. Jia, Milton Llera Montero, Alex D. Bird, Conor Houghton, Jean-Pascal Pfister, Rui Ponte Costa

X Demographics

X Demographics

The data shown below were collected from the profiles of 29 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 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 22%
Student > Ph. D. Student 8 17%
Student > Bachelor 6 13%
Professor > Associate Professor 3 7%
Student > Master 3 7%
Other 5 11%
Unknown 11 24%
Readers by discipline Count As %
Neuroscience 19 41%
Computer Science 4 9%
Medicine and Dentistry 4 9%
Agricultural and Biological Sciences 3 7%
Psychology 1 2%
Other 2 4%
Unknown 13 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 December 2019.
All research outputs
#2,066,662
of 24,943,708 outputs
Outputs from Frontiers in Synaptic Neuroscience
#26
of 442 outputs
Outputs of similar age
#41,927
of 348,117 outputs
Outputs of similar age from Frontiers in Synaptic Neuroscience
#4
of 8 outputs
Altmetric has tracked 24,943,708 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 442 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has done particularly well, scoring higher than 94% 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 348,117 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.