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X Demographics
Mendeley readers
Attention Score in Context
| Title |
An interaction map of circulating metabolites, immune gene networks, and their genetic regulation
|
|---|---|
| Published in |
Genome Biology, August 2017
|
| DOI | 10.1186/s13059-017-1279-y |
| Pubmed ID | |
| Authors |
Artika P. Nath, Scott C. Ritchie, Sean G. Byars, Liam G. Fearnley, Aki S. Havulinna, Anni Joensuu, Antti J. Kangas, Pasi Soininen, Annika Wennerström, Lili Milani, Andres Metspalu, Satu Männistö, Peter Würtz, Johannes Kettunen, Emma Raitoharju, Mika Kähönen, Markus Juonala, Aarno Palotie, Mika Ala-Korpela, Samuli Ripatti, Terho Lehtimäki, Gad Abraham, Olli Raitakari, Veikko Salomaa, Markus Perola, Michael Inouye |
X Demographics
The data shown below were collected from the profiles of 62 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 | 9 | 15% |
| United Kingdom | 8 | 13% |
| Australia | 7 | 11% |
| Finland | 4 | 6% |
| Netherlands | 2 | 3% |
| India | 2 | 3% |
| Ecuador | 1 | 2% |
| Spain | 1 | 2% |
| Japan | 1 | 2% |
| Other | 4 | 6% |
| Unknown | 23 | 37% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 29 | 47% |
| Members of the public | 27 | 44% |
| Practitioners (doctors, other healthcare professionals) | 4 | 6% |
| Science communicators (journalists, bloggers, editors) | 2 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 144 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 144 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 37 | 26% |
| Student > Ph. D. Student | 23 | 16% |
| Student > Master | 19 | 13% |
| Student > Bachelor | 11 | 8% |
| Other | 9 | 6% |
| Other | 17 | 12% |
| Unknown | 28 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 40 | 28% |
| Biochemistry, Genetics and Molecular Biology | 31 | 22% |
| Medicine and Dentistry | 18 | 13% |
| Immunology and Microbiology | 4 | 3% |
| Computer Science | 3 | 2% |
| Other | 13 | 9% |
| Unknown | 35 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 32. 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 11 November 2019.
All research outputs
#1,259,449
of 26,017,215 outputs
Outputs from Genome Biology
#942
of 4,513 outputs
Outputs of similar age
#24,773
of 331,208 outputs
Outputs of similar age from Genome Biology
#18
of 58 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,513 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.7. This one has done well, scoring higher than 79% 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 331,208 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 58 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 68% of its contemporaries.