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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genetic adaptation of the human circadian clock to day-length latitudinal variations and relevance for affective disorders
|
|---|---|
| Published in |
Genome Biology, October 2014
|
| DOI | 10.1186/s13059-014-0499-7 |
| Pubmed ID | |
| Authors |
Diego Forni, Uberto Pozzoli, Rachele Cagliani, Claudia Tresoldi, Giorgia Menozzi, Stefania Riva, Franca R Guerini, Giacomo P Comi, Elisabetta Bolognesi, Nereo Bresolin, Mario Clerici, Manuela Sironi |
X Demographics
The data shown below were collected from the profiles of 13 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 | 5 | 38% |
| United States | 2 | 15% |
| Netherlands | 1 | 8% |
| Unknown | 5 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 62% |
| Scientists | 5 | 38% |
Mendeley readers
The data shown below were compiled from readership statistics for 129 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| Netherlands | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 125 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 18 | 14% |
| Researcher | 17 | 13% |
| Student > Ph. D. Student | 17 | 13% |
| Student > Bachelor | 13 | 10% |
| Student > Doctoral Student | 10 | 8% |
| Other | 29 | 22% |
| Unknown | 25 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 20 | 16% |
| Agricultural and Biological Sciences | 18 | 14% |
| Biochemistry, Genetics and Molecular Biology | 14 | 11% |
| Neuroscience | 9 | 7% |
| Psychology | 9 | 7% |
| Other | 25 | 19% |
| Unknown | 34 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 21. 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 July 2018.
All research outputs
#1,750,081
of 25,371,288 outputs
Outputs from Genome Biology
#1,444
of 4,467 outputs
Outputs of similar age
#19,979
of 274,412 outputs
Outputs of similar age from Genome Biology
#25
of 119 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 67% 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 274,412 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 92% of its contemporaries.
We're also able to compare this research output to 119 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.