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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Network Diffusion Approach to Predict LncRNA Disease Associations Using Multi-Type Biological Networks: LION
|
|---|---|
| Published in |
Frontiers in Physiology, July 2019
|
| DOI | 10.3389/fphys.2019.00888 |
| Pubmed ID | |
| Authors |
Marissa Sumathipala, Enrico Maiorino, Scott T. Weiss, Amitabh Sharma |
X Demographics
The data shown below were collected from the profiles of 5 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 | 2 | 40% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 80% |
| Members of the public | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 26 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 19% |
| Researcher | 3 | 12% |
| Student > Bachelor | 3 | 12% |
| Student > Postgraduate | 2 | 8% |
| Lecturer | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 10 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 23% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 8% |
| Computer Science | 2 | 8% |
| Physics and Astronomy | 2 | 8% |
| Immunology and Microbiology | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 11 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 30 June 2020.
All research outputs
#7,594,783
of 23,153,184 outputs
Outputs from Frontiers in Physiology
#3,778
of 13,906 outputs
Outputs of similar age
#135,136
of 345,999 outputs
Outputs of similar age from Frontiers in Physiology
#112
of 373 outputs
Altmetric has tracked 23,153,184 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,906 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has gotten more attention than average, scoring higher than 72% 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 345,999 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 55% of its contemporaries.
We're also able to compare this research output to 373 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.