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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Prediction of lncRNA-disease associations by integrating diverse heterogeneous information sources with RWR algorithm and positive pointwise mutual information
|
|---|---|
| Published in |
BMC Bioinformatics, February 2019
|
| DOI | 10.1186/s12859-019-2675-y |
| Pubmed ID | |
| Authors |
Xiao-Nan Fan, Shao-Wu Zhang, Song-Yao Zhang, Kunju Zhu, Songjian Lu |
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 Kingdom | 1 | 50% |
| Unknown | 1 | 50% |
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 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 39 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 18% |
| Student > Master | 6 | 15% |
| Student > Bachelor | 5 | 13% |
| Student > Doctoral Student | 2 | 5% |
| Professor > Associate Professor | 2 | 5% |
| Other | 3 | 8% |
| Unknown | 14 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 8 | 21% |
| Agricultural and Biological Sciences | 6 | 15% |
| Computer Science | 5 | 13% |
| Mathematics | 4 | 10% |
| Medicine and Dentistry | 2 | 5% |
| Other | 2 | 5% |
| Unknown | 12 | 31% |
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 30 April 2019.
All research outputs
#3,892,734
of 23,577,761 outputs
Outputs from BMC Bioinformatics
#1,447
of 7,418 outputs
Outputs of similar age
#82,414
of 354,094 outputs
Outputs of similar age from BMC Bioinformatics
#38
of 168 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,418 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 80% 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 354,094 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 76% of its contemporaries.
We're also able to compare this research output to 168 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.