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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Exploring the Effect of Differentially Expressed Long Non-coding RNAs Driven by Copy Number Variation on Competing Endogenous RNA Network by Mining Lung Adenocarcinoma Data
|
|---|---|
| Published in |
Frontiers in Cell and Developmental Biology, January 2021
|
| DOI | 10.3389/fcell.2020.627436 |
| Pubmed ID | |
| Authors |
Huihui Hu, Hangdi Xu, Fen Lu, Jisong Zhang, Li Xu, Shan Xu, Hanliang Jiang, Qingxin Zeng, Enguo Chen, Zhengfu He |
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 % |
|---|---|---|
| Italy | 1 | 33% |
| Switzerland | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 7 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 2 | 29% |
| Unspecified | 1 | 14% |
| Student > Ph. D. Student | 1 | 14% |
| Student > Master | 1 | 14% |
| Unknown | 2 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 2 | 29% |
| Biochemistry, Genetics and Molecular Biology | 2 | 29% |
| Unspecified | 1 | 14% |
| Unknown | 2 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 05 January 2022.
All research outputs
#15,340,815
of 22,818,766 outputs
Outputs from Frontiers in Cell and Developmental Biology
#3,947
of 8,986 outputs
Outputs of similar age
#302,490
of 501,465 outputs
Outputs of similar age from Frontiers in Cell and Developmental Biology
#333
of 776 outputs
Altmetric has tracked 22,818,766 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,986 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 52% 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 501,465 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 776 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 52% of its contemporaries.