Title |
Electrophysiological, transcriptomic and morphologic profiling of single neurons using Patch-seq
|
---|---|
Published in |
Nature Biotechnology, December 2015
|
DOI | 10.1038/nbt.3445 |
Pubmed ID | |
Authors |
Cathryn R Cadwell, Athanasia Palasantza, Xiaolong Jiang, Philipp Berens, Qiaolin Deng, Marlene Yilmaz, Jacob Reimer, Shan Shen, Matthias Bethge, Kimberley F Tolias, Rickard Sandberg, Andreas S Tolias |
X Demographics
The data shown below were collected from the profiles of 87 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 34 | 39% |
United Kingdom | 6 | 7% |
France | 3 | 3% |
Japan | 3 | 3% |
Germany | 2 | 2% |
Canada | 2 | 2% |
Russia | 1 | 1% |
Hong Kong | 1 | 1% |
Austria | 1 | 1% |
Other | 7 | 8% |
Unknown | 27 | 31% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 58 | 67% |
Scientists | 27 | 31% |
Practitioners (doctors, other healthcare professionals) | 2 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 895 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 10 | 1% |
Germany | 2 | <1% |
United Kingdom | 2 | <1% |
France | 1 | <1% |
Australia | 1 | <1% |
Sweden | 1 | <1% |
Portugal | 1 | <1% |
Chile | 1 | <1% |
Czechia | 1 | <1% |
Other | 2 | <1% |
Unknown | 873 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 239 | 27% |
Researcher | 181 | 20% |
Student > Master | 76 | 8% |
Student > Bachelor | 70 | 8% |
Student > Doctoral Student | 47 | 5% |
Other | 141 | 16% |
Unknown | 141 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Neuroscience | 296 | 33% |
Agricultural and Biological Sciences | 207 | 23% |
Biochemistry, Genetics and Molecular Biology | 107 | 12% |
Medicine and Dentistry | 33 | 4% |
Engineering | 23 | 3% |
Other | 55 | 6% |
Unknown | 174 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 86. 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 26 November 2023.
All research outputs
#509,104
of 25,909,281 outputs
Outputs from Nature Biotechnology
#1,113
of 8,641 outputs
Outputs of similar age
#8,370
of 398,314 outputs
Outputs of similar age from Nature Biotechnology
#18
of 100 outputs
Altmetric has tracked 25,909,281 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,641 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 44.6. This one has done well, scoring higher than 87% 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 398,314 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 97% of its contemporaries.
We're also able to compare this research output to 100 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.