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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genome analysis and pleiotropy assessment using causal networks with loss of function mutation and metabolomics
|
|---|---|
| Published in |
BMC Genomics, May 2019
|
| DOI | 10.1186/s12864-019-5772-4 |
| Pubmed ID | |
| Authors |
Azam Yazdani, Akram Yazdani, Sarah H. Elsea, Daniel J. Schaid, Michael R. Kosorok, Gita Dangol, Ahmad Samiei |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Comoros | 1 | 33% |
| Qatar | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 43 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 21% |
| Researcher | 4 | 9% |
| Student > Doctoral Student | 3 | 7% |
| Student > Bachelor | 3 | 7% |
| Professor | 3 | 7% |
| Other | 8 | 19% |
| Unknown | 13 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 11 | 26% |
| Agricultural and Biological Sciences | 4 | 9% |
| Mathematics | 3 | 7% |
| Engineering | 3 | 7% |
| Medicine and Dentistry | 3 | 7% |
| Other | 3 | 7% |
| Unknown | 16 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 07 June 2019.
All research outputs
#3,672,669
of 23,148,322 outputs
Outputs from BMC Genomics
#1,395
of 10,712 outputs
Outputs of similar age
#74,425
of 350,452 outputs
Outputs of similar age from BMC Genomics
#30
of 236 outputs
Altmetric has tracked 23,148,322 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,712 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 86% 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 350,452 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 78% of its contemporaries.
We're also able to compare this research output to 236 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.