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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
Title |
Predicting Microbe-Disease Association by Learning Graph Representations and Rule-Based Inference on the Heterogeneous Network
|
---|---|
Published in |
Frontiers in Microbiology, April 2020
|
DOI | 10.3389/fmicb.2020.00579 |
Pubmed ID | |
Authors |
Xiujuan Lei, Yueyue Wang |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 50% |
Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 27 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 5 | 19% |
Researcher | 3 | 11% |
Student > Bachelor | 2 | 7% |
Student > Master | 2 | 7% |
Student > Doctoral Student | 1 | 4% |
Other | 4 | 15% |
Unknown | 10 | 37% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 5 | 19% |
Biochemistry, Genetics and Molecular Biology | 4 | 15% |
Agricultural and Biological Sciences | 3 | 11% |
Environmental Science | 1 | 4% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 4% |
Other | 2 | 7% |
Unknown | 11 | 41% |
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 13 January 2022.
All research outputs
#14,853,520
of 22,875,477 outputs
Outputs from Frontiers in Microbiology
#13,851
of 24,892 outputs
Outputs of similar age
#219,810
of 374,135 outputs
Outputs of similar age from Frontiers in Microbiology
#419
of 754 outputs
Altmetric has tracked 22,875,477 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% of other outputs scored the same or lower than it.
So far Altmetric has tracked 24,892 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 39th percentile – i.e., 39% 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 374,135 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 754 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.