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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Multi-omics profiling reveals microRNA-mediated insulin signaling networks
|
|---|---|
| Published in |
BMC Bioinformatics, September 2020
|
| DOI | 10.1186/s12859-020-03678-0 |
| Pubmed ID | |
| Authors |
Yang-Chi-Dung Lin, Hsi-Yuan Huang, Sirjana Shrestha, Chih-Hung Chou, Yen-Hua Chen, Chi-Ru Chen, Hsiao-Chin Hong, Jing Li, Yi-An Chang, Men-Yee Chiew, Ya-Rong Huang, Siang-Jyun Tu, Ting-Hsuan Sun, Shun-Long Weng, Ching-Ping Tseng, Hsien-Da Huang |
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 % |
|---|---|---|
| Japan | 1 | 25% |
| India | 1 | 25% |
| Sweden | 1 | 25% |
| United Kingdom | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 75% |
| Members of the public | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 21% |
| Student > Doctoral Student | 2 | 14% |
| Student > Ph. D. Student | 2 | 14% |
| Student > Master | 1 | 7% |
| Lecturer | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 5 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 4 | 29% |
| Computer Science | 2 | 14% |
| Social Sciences | 1 | 7% |
| Medicine and Dentistry | 1 | 7% |
| Unknown | 6 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 24 January 2023.
All research outputs
#3,009,455
of 23,588,018 outputs
Outputs from BMC Bioinformatics
#1,029
of 7,400 outputs
Outputs of similar age
#78,716
of 409,031 outputs
Outputs of similar age from BMC Bioinformatics
#29
of 148 outputs
Altmetric has tracked 23,588,018 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,400 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 86% 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 409,031 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 80% of its contemporaries.
We're also able to compare this research output to 148 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.