| Title |
Daytime eating prevents mood vulnerability in night work
|
|---|---|
| Published in |
Proceedings of the National Academy of Sciences of the United States of America, September 2022
|
| DOI | 10.1073/pnas.2206348119 |
| Pubmed ID | |
| Authors |
Jingyi Qian, Nina Vujovic, Hoa Nguyen, Nishath Rahman, Su Wei Heng, Stephen Amira, Frank A. J. L. Scheer, Sarah L. Chellappa |
X Demographics
The data shown below were collected from the profiles of 179 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 28 | 16% |
| United States | 18 | 10% |
| United Kingdom | 5 | 3% |
| India | 3 | 2% |
| Saudi Arabia | 2 | 1% |
| Spain | 2 | 1% |
| Canada | 1 | <1% |
| France | 1 | <1% |
| Kenya | 1 | <1% |
| Other | 7 | 4% |
| Unknown | 111 | 62% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 156 | 87% |
| Scientists | 13 | 7% |
| Practitioners (doctors, other healthcare professionals) | 9 | 5% |
| Science communicators (journalists, bloggers, editors) | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 64 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 11% |
| Unspecified | 4 | 6% |
| Other | 4 | 6% |
| Researcher | 4 | 6% |
| Student > Postgraduate | 4 | 6% |
| Other | 16 | 25% |
| Unknown | 25 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 16% |
| Nursing and Health Professions | 6 | 9% |
| Unspecified | 5 | 8% |
| Psychology | 4 | 6% |
| Biochemistry, Genetics and Molecular Biology | 3 | 5% |
| Other | 9 | 14% |
| Unknown | 27 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1183. 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 April 2023.
All research outputs
#12,367
of 25,766,791 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#385
of 103,687 outputs
Outputs of similar age
#459
of 434,663 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#15
of 998 outputs
Altmetric has tracked 25,766,791 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 103,687 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.5. This one has done particularly well, scoring higher than 99% 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 434,663 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 998 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 98% of its contemporaries.