| Title |
Identification of Hub Genes Associated with Diabetes Mellitus and Tuberculosis Using Bioinformatic Analysis
|
|---|---|
| Published in |
International Journal of General Medicine, July 2021
|
| DOI | 10.2147/ijgm.s318071 |
| Pubmed ID | |
| Authors |
Shengsheng Liu, Weicong Ren, Jiajia Yu, Chuanyou Li, Shenjie Tang |
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 % |
|---|---|---|
| United States | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 30 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 4 | 13% |
| Student > Bachelor | 3 | 10% |
| Student > Master | 3 | 10% |
| Student > Doctoral Student | 2 | 7% |
| Student > Postgraduate | 2 | 7% |
| Other | 5 | 17% |
| Unknown | 11 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 4 | 13% |
| Biochemistry, Genetics and Molecular Biology | 4 | 13% |
| Immunology and Microbiology | 4 | 13% |
| Medicine and Dentistry | 3 | 10% |
| Social Sciences | 2 | 7% |
| Other | 2 | 7% |
| Unknown | 11 | 37% |
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 30 July 2021.
All research outputs
#14,555,398
of 23,310,485 outputs
Outputs from International Journal of General Medicine
#523
of 1,490 outputs
Outputs of similar age
#222,860
of 442,560 outputs
Outputs of similar age from International Journal of General Medicine
#42
of 153 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,490 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.1. This one has gotten more attention than average, scoring higher than 61% 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 442,560 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 153 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 70% of its contemporaries.