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A chromosomal connectome for psychiatric and metabolic risk variants in adult dopaminergic neurons

Overview of attention for article published in Genome Medicine, February 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)

Mentioned by

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4 X users

Citations

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35 Dimensions

Readers on

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76 Mendeley
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Title
A chromosomal connectome for psychiatric and metabolic risk variants in adult dopaminergic neurons
Published in
Genome Medicine, February 2020
DOI 10.1186/s13073-020-0715-x
Pubmed ID
Authors

Sergio Espeso-Gil, Tobias Halene, Jaroslav Bendl, Bibi Kassim, Gabriella Ben Hutta, Marina Iskhakova, Neda Shokrian, Pavan Auluck, Behnam Javidfar, Prashanth Rajarajan, Sandhya Chandrasekaran, Cyril J. Peter, Alanna Cote, Rebecca Birnbaum, Will Liao, Tyler Borrman, Jennifer Wiseman, Aaron Bell, Michael J. Bannon, Panagiotis Roussos, John F. Crary, Zhiping Weng, Stefano Marenco, Barbara Lipska, Nadejda M. Tsankova, Laura Huckins, Yan Jiang, Schahram Akbarian

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 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 76 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 17%
Student > Ph. D. Student 12 16%
Student > Doctoral Student 6 8%
Student > Master 6 8%
Student > Bachelor 3 4%
Other 9 12%
Unknown 27 36%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 17 22%
Neuroscience 10 13%
Agricultural and Biological Sciences 7 9%
Engineering 2 3%
Nursing and Health Professions 2 3%
Other 8 11%
Unknown 30 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 May 2021.
All research outputs
#13,435,704
of 23,195,584 outputs
Outputs from Genome Medicine
#1,227
of 1,452 outputs
Outputs of similar age
#173,179
of 360,828 outputs
Outputs of similar age from Genome Medicine
#22
of 27 outputs
Altmetric has tracked 23,195,584 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,452 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.8. This one is in the 14th percentile – i.e., 14% 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 360,828 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.