The data shown below were collected from the profiles of 36 X users who shared this research output. Click here to find out more about how the information was compiled.
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Timeline
X Demographics
Mendeley readers
Attention Score in Context
Title |
Low-cost and scalable projected light-sheet microscopy for the high-resolution imaging of cleared tissue and living samples
|
---|---|
Published in |
Nature Biomedical Engineering, August 2024
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DOI | 10.1038/s41551-024-01249-9 |
Pubmed ID | |
Authors |
Yannan Chen, Shradha Chauhan, Cheng Gong, Hannah Dayton, Cong Xu, Estanislao Daniel De La Cruz, Yu-Young Wesley Tsai, Malika S. Datta, Gorazd B. Rosoklija, Andrew J. Dwork, J. John Mann, Maura Boldrini, Kam W. Leong, Lars E. P. Dietrich, Raju Tomer |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 6 | 17% |
Mexico | 2 | 6% |
Japan | 2 | 6% |
India | 1 | 3% |
France | 1 | 3% |
Australia | 1 | 3% |
Chile | 1 | 3% |
Switzerland | 1 | 3% |
China | 1 | 3% |
Other | 5 | 14% |
Unknown | 15 | 42% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 18 | 50% |
Scientists | 17 | 47% |
Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 5 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 2 | 40% |
Student > Doctoral Student | 1 | 20% |
Student > Bachelor | 1 | 20% |
Unknown | 1 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 2 | 40% |
Neuroscience | 2 | 40% |
Unknown | 1 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 30. 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 10 September 2024.
All research outputs
#1,397,309
of 26,451,184 outputs
Outputs from Nature Biomedical Engineering
#610
of 1,208 outputs
Outputs of similar age
#10,633
of 186,693 outputs
Outputs of similar age from Nature Biomedical Engineering
#6
of 20 outputs
Altmetric has tracked 26,451,184 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,208 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 78.2. This one is in the 49th percentile – i.e., 49% 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 186,693 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 94% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.