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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Gene co-expression network based on part mutual information for gene-to-gene relationship and gene-cancer correlation analysis
|
|---|---|
| Published in |
BMC Bioinformatics, May 2022
|
| DOI | 10.1186/s12859-022-04732-9 |
| Pubmed ID | |
| Authors |
Yi-Hua Jiang, Jie Long, Zhi-Bin Zhao, Liang Li, Zhe-Xiong Lian, Zhi Liang, Jia-Rui Wu |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 25% |
| Sweden | 1 | 25% |
| United Kingdom | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Scientists | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 6 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer | 1 | 17% |
| Student > Bachelor | 1 | 17% |
| Researcher | 1 | 17% |
| Lecturer > Senior Lecturer | 1 | 17% |
| Unknown | 2 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 2 | 33% |
| Computer Science | 2 | 33% |
| Unknown | 2 | 33% |
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 26 May 2022.
All research outputs
#14,269,607
of 23,312,088 outputs
Outputs from BMC Bioinformatics
#4,573
of 7,383 outputs
Outputs of similar age
#202,825
of 441,900 outputs
Outputs of similar age from BMC Bioinformatics
#97
of 147 outputs
Altmetric has tracked 23,312,088 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,383 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. 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 441,900 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 52% of its contemporaries.
We're also able to compare this research output to 147 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.