| Title |
Wireless optoelectronic photometers for monitoring neuronal dynamics in the deep brain
|
|---|---|
| Published in |
Proceedings of the National Academy of Sciences of the United States of America, January 2018
|
| DOI | 10.1073/pnas.1718721115 |
| Pubmed ID | |
| Authors |
Luyao Lu, Philipp Gutruf, Li Xia, Dionnet L Bhatti, Xinying Wang, Abraham Vazquez-Guardado, Xin Ning, Xinru Shen, Tian Sang, Rongxue Ma, Grace Pakeltis, Gabriel Sobczak, Hao Zhang, Dong-Oh Seo, Mantian Xue, Lan Yin, Debashis Chanda, Xing Sheng, Michael R Bruchas, John A Rogers |
X Demographics
The data shown below were collected from the profiles of 90 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 | 36 | 40% |
| United Kingdom | 4 | 4% |
| Germany | 3 | 3% |
| France | 3 | 3% |
| Spain | 3 | 3% |
| Canada | 3 | 3% |
| Australia | 2 | 2% |
| China | 1 | 1% |
| Venezuela, Bolivarian Republic of | 1 | 1% |
| Other | 6 | 7% |
| Unknown | 28 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 53 | 59% |
| Scientists | 34 | 38% |
| Practitioners (doctors, other healthcare professionals) | 3 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 309 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 309 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 70 | 23% |
| Researcher | 50 | 16% |
| Student > Master | 25 | 8% |
| Student > Bachelor | 24 | 8% |
| Student > Doctoral Student | 18 | 6% |
| Other | 35 | 11% |
| Unknown | 87 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 73 | 24% |
| Neuroscience | 61 | 20% |
| Agricultural and Biological Sciences | 24 | 8% |
| Materials Science | 13 | 4% |
| Biochemistry, Genetics and Molecular Biology | 8 | 3% |
| Other | 35 | 11% |
| Unknown | 95 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 77. 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 15 April 2024.
All research outputs
#568,825
of 25,732,188 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#9,834
of 103,628 outputs
Outputs of similar age
#13,285
of 452,839 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#224
of 1,002 outputs
Altmetric has tracked 25,732,188 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 103,628 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 90% 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 452,839 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 1,002 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.