| Title |
Wireless, battery-free subdermally implantable photometry systems for chronic recording of neural dynamics
|
|---|---|
| Published in |
Proceedings of the National Academy of Sciences of the United States of America, January 2020
|
| DOI | 10.1073/pnas.1920073117 |
| Pubmed ID | |
| Authors |
Alex Burton, Sofian N Obaid, Abraham Vázquez-Guardado, Matthew B Schmit, Tucker Stuart, Le Cai, Zhiyuan Chen, Irawati Kandela, Chad R Haney, Emily A Waters, Haijiang Cai, John A Rogers, Luyao Lu, Philipp Gutruf |
X Demographics
The data shown below were collected from the profiles of 17 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 | 6 | 35% |
| Germany | 1 | 6% |
| United Kingdom | 1 | 6% |
| Sri Lanka | 1 | 6% |
| Singapore | 1 | 6% |
| Australia | 1 | 6% |
| Unknown | 6 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 14 | 82% |
| Scientists | 2 | 12% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 186 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 186 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 39 | 21% |
| Researcher | 27 | 15% |
| Student > Master | 13 | 7% |
| Student > Bachelor | 13 | 7% |
| Student > Doctoral Student | 8 | 4% |
| Other | 19 | 10% |
| Unknown | 67 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 46 | 25% |
| Neuroscience | 27 | 15% |
| Agricultural and Biological Sciences | 9 | 5% |
| Materials Science | 7 | 4% |
| Biochemistry, Genetics and Molecular Biology | 4 | 2% |
| Other | 16 | 9% |
| Unknown | 77 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 110. 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 29 October 2020.
All research outputs
#388,121
of 25,743,152 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#6,932
of 103,647 outputs
Outputs of similar age
#9,723
of 479,573 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#130
of 933 outputs
Altmetric has tracked 25,743,152 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 103,647 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.6. This one has done particularly well, scoring higher than 93% 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 479,573 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 933 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.