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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
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 |
WGCNA combined with machine learning algorithms for analyzing key genes and immune cell infiltration in heart failure due to ischemic cardiomyopathy
|
---|---|
Published in |
Frontiers in Cardiovascular Medicine, March 2023
|
DOI | 10.3389/fcvm.2023.1058834 |
Pubmed ID | |
Authors |
XiangJin Kong, HouRong Sun, KaiMing Wei, LingWei Meng, Xin Lv, ChuanZhen Liu, FuShun Lin, XingHua Gu |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 9 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Other | 3 | 33% |
Student > Bachelor | 1 | 11% |
Student > Ph. D. Student | 1 | 11% |
Unknown | 4 | 44% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 1 | 11% |
Computer Science | 1 | 11% |
Medicine and Dentistry | 1 | 11% |
Chemistry | 1 | 11% |
Engineering | 1 | 11% |
Other | 0 | 0% |
Unknown | 4 | 44% |
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 12 April 2023.
All research outputs
#16,958,342
of 25,698,912 outputs
Outputs from Frontiers in Cardiovascular Medicine
#2,829
of 9,396 outputs
Outputs of similar age
#242,005
of 437,897 outputs
Outputs of similar age from Frontiers in Cardiovascular Medicine
#138
of 585 outputs
Altmetric has tracked 25,698,912 research outputs across all sources so far. This one is in the 31st percentile – i.e., 31% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,396 research outputs from this source. They receive a mean Attention Score of 4.4. This one has gotten more attention than average, scoring higher than 64% 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 437,897 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 585 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 68% of its contemporaries.