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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Working Time Society consensus statements: Evidence-based effects of shift work and non-standard working hours on workers, family and community
|
|---|---|
| Published in |
Industrial Health, January 2019
|
| DOI | 10.2486/indhealth.sw-4 |
| Pubmed ID | |
| Authors |
Anna ARLINGHAUS, Philip BOHLE, Irena ISKRA-GOLEC, Nicole JANSEN, JAY Sarah, Lucia ROTENBERG |
X Demographics
The data shown below were collected from the profiles of 11 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 Kingdom | 3 | 27% |
| New Zealand | 2 | 18% |
| United Arab Emirates | 1 | 9% |
| Australia | 1 | 9% |
| Belgium | 1 | 9% |
| United States | 1 | 9% |
| Unknown | 2 | 18% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 45% |
| Practitioners (doctors, other healthcare professionals) | 3 | 27% |
| Scientists | 2 | 18% |
| Science communicators (journalists, bloggers, editors) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 256 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 256 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 36 | 14% |
| Student > Bachelor | 32 | 13% |
| Student > Doctoral Student | 18 | 7% |
| Researcher | 16 | 6% |
| Student > Postgraduate | 10 | 4% |
| Other | 37 | 14% |
| Unknown | 107 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 31 | 12% |
| Medicine and Dentistry | 20 | 8% |
| Psychology | 19 | 7% |
| Business, Management and Accounting | 15 | 6% |
| Social Sciences | 14 | 5% |
| Other | 40 | 16% |
| Unknown | 117 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 24 July 2020.
All research outputs
#4,434,534
of 26,017,215 outputs
Outputs from Industrial Health
#122
of 804 outputs
Outputs of similar age
#93,933
of 451,921 outputs
Outputs of similar age from Industrial Health
#4
of 12 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 804 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.3. This one has done well, scoring higher than 83% 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 451,921 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 12 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 66% of its contemporaries.