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X Demographics
Mendeley readers
Attention Score in Context
| Title |
integRATE: a desirability-based data integration framework for the prioritization of candidate genes across heterogeneous omics and its application to preterm birth
|
|---|---|
| Published in |
BMC Medical Genomics, November 2018
|
| DOI | 10.1186/s12920-018-0426-y |
| Pubmed ID | |
| Authors |
Haley R. Eidem, Jacob L. Steenwyk, Jennifer H. Wisecaver, John A. Capra, Patrick Abbot, Antonis Rokas |
X Demographics
The data shown below were collected from the profiles of 6 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 | 4 | 67% |
| Turkey | 1 | 17% |
| Unknown | 1 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Scientists | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 30 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 17% |
| Student > Bachelor | 4 | 13% |
| Student > Master | 3 | 10% |
| Student > Ph. D. Student | 3 | 10% |
| Professor | 2 | 7% |
| Other | 3 | 10% |
| Unknown | 10 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 20% |
| Medicine and Dentistry | 3 | 10% |
| Agricultural and Biological Sciences | 2 | 7% |
| Computer Science | 2 | 7% |
| Immunology and Microbiology | 2 | 7% |
| Other | 4 | 13% |
| Unknown | 11 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 18 December 2018.
All research outputs
#6,621,937
of 23,577,761 outputs
Outputs from BMC Medical Genomics
#295
of 1,264 outputs
Outputs of similar age
#134,454
of 440,302 outputs
Outputs of similar age from BMC Medical Genomics
#10
of 31 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 1,264 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 76% 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 440,302 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 31 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 67% of its contemporaries.