| Title |
Connecting genetic risk to disease end points through the human blood plasma proteome
|
|---|---|
| Published in |
Nature Communications, February 2017
|
| DOI | 10.1038/ncomms14357 |
| Pubmed ID | |
| Authors |
Karsten Suhre, Matthias Arnold, Aditya Mukund Bhagwat, Richard J. Cotton, Rudolf Engelke, Johannes Raffler, Hina Sarwath, Gaurav Thareja, Annika Wahl, Robert Kirk DeLisle, Larry Gold, Marija Pezer, Gordan Lauc, Mohammed A. El-Din Selim, Dennis O. Mook-Kanamori, Eman K. Al-Dous, Yasmin A. Mohamoud, Joel Malek, Konstantin Strauch, Harald Grallert, Annette Peters, Gabi Kastenmüller, Christian Gieger, Johannes Graumann |
X Demographics
The data shown below were collected from the profiles of 111 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 | 31 | 28% |
| United Kingdom | 14 | 13% |
| Germany | 5 | 5% |
| India | 3 | 3% |
| Qatar | 3 | 3% |
| Comoros | 2 | 2% |
| Sweden | 2 | 2% |
| Switzerland | 2 | 2% |
| South Africa | 1 | <1% |
| Other | 8 | 7% |
| Unknown | 40 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 63 | 57% |
| Scientists | 45 | 41% |
| Practitioners (doctors, other healthcare professionals) | 2 | 2% |
| Science communicators (journalists, bloggers, editors) | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 346 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 344 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 81 | 23% |
| Student > Ph. D. Student | 77 | 22% |
| Student > Bachelor | 30 | 9% |
| Student > Master | 24 | 7% |
| Student > Doctoral Student | 20 | 6% |
| Other | 47 | 14% |
| Unknown | 67 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 103 | 30% |
| Agricultural and Biological Sciences | 57 | 16% |
| Medicine and Dentistry | 30 | 9% |
| Computer Science | 14 | 4% |
| Immunology and Microbiology | 11 | 3% |
| Other | 49 | 14% |
| Unknown | 82 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 268. 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 14 November 2023.
All research outputs
#136,696
of 26,017,215 outputs
Outputs from Nature Communications
#1,958
of 58,133 outputs
Outputs of similar age
#3,094
of 329,864 outputs
Outputs of similar age from Nature Communications
#48
of 924 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 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 58,133 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 55.5. This one has done particularly well, scoring higher than 96% 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 329,864 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 98% of its contemporaries.
We're also able to compare this research output to 924 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 94% of its contemporaries.