You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identification of hub genes and pathways in colitis-associated colon cancer by integrated bioinformatic analysis
|
|---|---|
| Published in |
BMC Genomic Data, June 2022
|
| DOI | 10.1186/s12863-022-01065-7 |
| Pubmed ID | |
| Authors |
Yongming Huang, Xiaoyuan Zhang, PengWang, Yansen Li, Jie Yao |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 18% |
| Unspecified | 1 | 6% |
| Other | 1 | 6% |
| Student > Ph. D. Student | 1 | 6% |
| Student > Bachelor | 1 | 6% |
| Other | 2 | 12% |
| Unknown | 8 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 3 | 18% |
| Unspecified | 1 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 6% |
| Computer Science | 1 | 6% |
| Chemistry | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 9 | 53% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 18 November 2022.
All research outputs
#6,751,532
of 23,784,266 outputs
Outputs from BMC Genomic Data
#17
of 112 outputs
Outputs of similar age
#130,150
of 444,680 outputs
Outputs of similar age from BMC Genomic Data
#3
of 20 outputs
Altmetric has tracked 23,784,266 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 112 research outputs from this source. They receive a mean Attention Score of 2.2. This one has done well, scoring higher than 85% 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 444,680 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 70% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.