↓ Skip to main content

TrackUSF, a novel tool for automated ultrasonic vocalization analysis, reveals modified calls in a rat model of autism

Overview of attention for article published in BMC Biology, July 2022
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

news
1 news outlet
twitter
14 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
8 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
TrackUSF, a novel tool for automated ultrasonic vocalization analysis, reveals modified calls in a rat model of autism
Published in
BMC Biology, July 2022
DOI 10.1186/s12915-022-01299-y
Pubmed ID
Authors

Shai Netser, Guy Nahardiya, Gili Weiss-Dicker, Roei Dadush, Yizhaq Goussha, Shanah Rachel John, Mor Taub, Yuval Werber, Nir Sapir, Yossi Yovel, Hala Harony-Nicolas, Joseph D. Buxbaum, Lior Cohen, Koby Crammer, Shlomo Wagner

Twitter Demographics

The data shown below were collected from the profiles of 14 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 38%
Researcher 2 25%
Unspecified 1 13%
Student > Master 1 13%
Unknown 1 13%
Readers by discipline Count As %
Neuroscience 3 38%
Agricultural and Biological Sciences 2 25%
Unspecified 1 13%
Environmental Science 1 13%
Unknown 1 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 07 October 2022.
All research outputs
#2,316,787
of 22,818,766 outputs
Outputs from BMC Biology
#657
of 1,995 outputs
Outputs of similar age
#49,887
of 433,780 outputs
Outputs of similar age from BMC Biology
#17
of 69 outputs
Altmetric has tracked 22,818,766 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,995 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.5. This one has gotten more attention than average, scoring higher than 67% 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 433,780 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 88% of its contemporaries.
We're also able to compare this research output to 69 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.