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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Heterogeneous network embedding enabling accurate disease association predictions
|
|---|---|
| Published in |
BMC Medical Genomics, December 2019
|
| DOI | 10.1186/s12920-019-0623-3 |
| Pubmed ID | |
| Authors |
Yun Xiong, Mengjie Guo, Lu Ruan, Xiangnan Kong, Chunlei Tang, Yangyong Zhu, Wei Wang |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 35 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 20% |
| Researcher | 6 | 17% |
| Student > Bachelor | 4 | 11% |
| Student > Master | 4 | 11% |
| Professor | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 10 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 20% |
| Computer Science | 7 | 20% |
| Agricultural and Biological Sciences | 3 | 9% |
| Engineering | 3 | 9% |
| Business, Management and Accounting | 2 | 6% |
| Other | 1 | 3% |
| Unknown | 12 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 04 January 2020.
All research outputs
#15,064,058
of 23,184,056 outputs
Outputs from BMC Medical Genomics
#617
of 1,243 outputs
Outputs of similar age
#261,041
of 457,757 outputs
Outputs of similar age from BMC Medical Genomics
#10
of 38 outputs
Altmetric has tracked 23,184,056 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,243 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
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 457,757 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 38 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.