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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Virtual reality-empowered deep-learning analysis of brain cells
|
|---|---|
| Published in |
Nature Methods, April 2024
|
| DOI | 10.1038/s41592-024-02245-2 |
| Pubmed ID | |
| Authors |
Doris Kaltenecker, Rami Al-Maskari, Moritz Negwer, Luciano Hoeher, Florian Kofler, Shan Zhao, Mihail Todorov, Zhouyi Rong, Johannes Christian Paetzold, Benedikt Wiestler, Marie Piraud, Daniel Rueckert, Julia Geppert, Pauline Morigny, Maria Rohm, Bjoern H. Menze, Stephan Herzig, Mauricio Berriel Diaz, Ali Ertürk |
X Demographics
The data shown below were collected from the profiles of 242 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 | 44 | 18% |
| Germany | 33 | 14% |
| United Kingdom | 11 | 5% |
| Canada | 6 | 2% |
| France | 6 | 2% |
| Japan | 5 | 2% |
| Turkey | 4 | 2% |
| Brazil | 3 | 1% |
| Switzerland | 3 | 1% |
| Other | 23 | 10% |
| Unknown | 104 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 154 | 64% |
| Scientists | 79 | 33% |
| Practitioners (doctors, other healthcare professionals) | 7 | 3% |
| Science communicators (journalists, bloggers, editors) | 2 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 33% |
| Researcher | 3 | 33% |
| Lecturer > Senior Lecturer | 1 | 11% |
| Professor > Associate Professor | 1 | 11% |
| Unspecified | 1 | 11% |
| Other | 0 | 0% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 4 | 44% |
| Agricultural and Biological Sciences | 3 | 33% |
| Unspecified | 1 | 11% |
| Biochemistry, Genetics and Molecular Biology | 1 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 202. 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 09 May 2024.
All research outputs
#200,202
of 25,867,969 outputs
Outputs from Nature Methods
#155
of 5,425 outputs
Outputs of similar age
#1,558
of 204,255 outputs
Outputs of similar age from Nature Methods
#3
of 62 outputs
Altmetric has tracked 25,867,969 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,425 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 36.6. This one has done particularly well, scoring higher than 97% 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 204,255 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 99% of its contemporaries.
We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.