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Mendeley readers
Attention Score in Context
Title |
edge2vec: Representation learning using edge semantics for biomedical knowledge discovery
|
---|---|
Published in |
BMC Bioinformatics, June 2019
|
DOI | 10.1186/s12859-019-2914-2 |
Pubmed ID | |
Authors |
Zheng Gao, Gang Fu, Chunping Ouyang, Satoshi Tsutsui, Xiaozhong Liu, Jeremy Yang, Christopher Gessner, Brian Foote, David Wild, Ying Ding, Qi Yu |
Mendeley readers
The data shown below were compiled from readership statistics for 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 114 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 23 | 20% |
Researcher | 16 | 14% |
Student > Master | 15 | 13% |
Student > Bachelor | 9 | 8% |
Student > Doctoral Student | 4 | 4% |
Other | 9 | 8% |
Unknown | 38 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 44 | 39% |
Biochemistry, Genetics and Molecular Biology | 7 | 6% |
Agricultural and Biological Sciences | 5 | 4% |
Economics, Econometrics and Finance | 2 | 2% |
Medicine and Dentistry | 2 | 2% |
Other | 12 | 11% |
Unknown | 42 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 16 March 2022.
All research outputs
#5,908,083
of 23,347,114 outputs
Outputs from BMC Bioinformatics
#2,185
of 7,391 outputs
Outputs of similar age
#105,901
of 354,202 outputs
Outputs of similar age from BMC Bioinformatics
#64
of 190 outputs
Altmetric has tracked 23,347,114 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 7,391 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 70% 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 354,202 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 190 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 66% of its contemporaries.