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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Mergeomics: multidimensional data integration to identify pathogenic perturbations to biological systems
|
|---|---|
| Published in |
BMC Genomics, November 2016
|
| DOI | 10.1186/s12864-016-3198-9 |
| Pubmed ID | |
| Authors |
Le Shu, Yuqi Zhao, Zeyneb Kurt, Sean Geoffrey Byars, Taru Tukiainen, Johannes Kettunen, Luz D. Orozco, Matteo Pellegrini, Aldons J. Lusis, Samuli Ripatti, Bin Zhang, Michael Inouye, Ville-Petteri Mäkinen, Xia Yang |
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 | 2 | 18% |
| Netherlands | 1 | 9% |
| India | 1 | 9% |
| United States | 1 | 9% |
| Finland | 1 | 9% |
| Unknown | 5 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 6 | 55% |
| Members of the public | 4 | 36% |
| Practitioners (doctors, other healthcare professionals) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 126 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Finland | 1 | <1% |
| Unknown | 125 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 27 | 21% |
| Researcher | 24 | 19% |
| Student > Master | 13 | 10% |
| Student > Doctoral Student | 8 | 6% |
| Student > Postgraduate | 7 | 6% |
| Other | 25 | 20% |
| Unknown | 22 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 40 | 32% |
| Agricultural and Biological Sciences | 19 | 15% |
| Medicine and Dentistry | 13 | 10% |
| Computer Science | 7 | 6% |
| Neuroscience | 4 | 3% |
| Other | 15 | 12% |
| Unknown | 28 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 22 October 2018.
All research outputs
#2,668,913
of 25,837,817 outputs
Outputs from BMC Genomics
#752
of 11,367 outputs
Outputs of similar age
#43,928
of 319,860 outputs
Outputs of similar age from BMC Genomics
#16
of 225 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,367 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done particularly well, scoring higher than 93% 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 319,860 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 86% of its contemporaries.
We're also able to compare this research output to 225 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 92% of its contemporaries.