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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

twitter
4 tweeters

Citations

dimensions_citation
22 Dimensions

Readers on

mendeley
64 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

Twitter Demographics

The data shown below were collected from the profiles of 4 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 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 64 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 20%
Student > Ph. D. Student 11 17%
Student > Doctoral Student 5 8%
Student > Master 5 8%
Student > Bachelor 3 5%
Other 7 11%
Unknown 20 31%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 14 22%
Neuroscience 10 16%
Agricultural and Biological Sciences 6 9%
Nursing and Health Professions 2 3%
Engineering 2 3%
Other 7 11%
Unknown 23 36%

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
#12,270,627
of 21,172,126 outputs
Outputs from Genome Medicine
#1,127
of 1,347 outputs
Outputs of similar age
#135,080
of 282,081 outputs
Outputs of similar age from Genome Medicine
#1
of 1 outputs
Altmetric has tracked 21,172,126 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 1,347 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.6. This one is in the 15th percentile – i.e., 15% 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 282,081 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 1 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