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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Enhanced construction of gene regulatory networks using hub gene information
|
|---|---|
| Published in |
BMC Bioinformatics, March 2017
|
| DOI | 10.1186/s12859-017-1576-1 |
| Pubmed ID | |
| Authors |
Donghyeon Yu, Johan Lim, Xinlei Wang, Faming Liang, Guanghua Xiao |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Finland | 1 | 33% |
| United States | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 99 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 17% |
| Student > Master | 13 | 13% |
| Researcher | 11 | 11% |
| Student > Bachelor | 9 | 9% |
| Student > Postgraduate | 6 | 6% |
| Other | 8 | 8% |
| Unknown | 35 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 25 | 25% |
| Computer Science | 9 | 9% |
| Engineering | 8 | 8% |
| Agricultural and Biological Sciences | 8 | 8% |
| Mathematics | 3 | 3% |
| Other | 10 | 10% |
| Unknown | 36 | 36% |
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 05 May 2024.
All research outputs
#16,063,330
of 25,848,962 outputs
Outputs from BMC Bioinformatics
#4,803
of 7,759 outputs
Outputs of similar age
#180,771
of 323,856 outputs
Outputs of similar age from BMC Bioinformatics
#64
of 125 outputs
Altmetric has tracked 25,848,962 research outputs across all sources so far. This one is in the 36th percentile – i.e., 36% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,759 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 34th percentile – i.e., 34% 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 323,856 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 125 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.