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 |
Interaction of lncRNA MIR100HG with hnRNPA2B1 facilitates m6A-dependent stabilization of TCF7L2 mRNA and colorectal cancer progression
|
---|---|
Published in |
Molecular Cancer, March 2022
|
DOI | 10.1186/s12943-022-01555-3 |
Pubmed ID | |
Authors |
Hao Liu, Danxiu Li, Lina Sun, Hongqiang Qin, Ahui Fan, Lingnan Meng, Ramona Graves-Deal, Sarah E. Glass, Jeffrey L. Franklin, Qi Liu, Jing Wang, Timothy J. Yeatman, Hao Guo, Hong Zong, Shuilin Jin, Zhiyu Chen, Ting Deng, Ying Fang, Cunxi Li, John Karijolich, James G. Patton, Xin Wang, Yongzhan Nie, Daiming Fan, Robert J. Coffey, Xiaodi Zhao, Yuanyuan Lu |
X Demographics
The data shown below were collected from the profiles of 6 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 | 4 | 67% |
Unknown | 2 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 50% |
Scientists | 2 | 33% |
Practitioners (doctors, other healthcare professionals) | 1 | 17% |
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 > Ph. D. Student | 2 | 12% |
Student > Doctoral Student | 2 | 12% |
Student > Bachelor | 1 | 6% |
Professor | 1 | 6% |
Unknown | 11 | 65% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 3 | 18% |
Medicine and Dentistry | 2 | 12% |
Computer Science | 1 | 6% |
Unknown | 11 | 65% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 14 March 2022.
All research outputs
#13,043,508
of 23,339,727 outputs
Outputs from Molecular Cancer
#798
of 1,756 outputs
Outputs of similar age
#169,163
of 440,744 outputs
Outputs of similar age from Molecular Cancer
#27
of 61 outputs
Altmetric has tracked 23,339,727 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,756 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one has gotten more attention than average, scoring higher than 54% 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 440,744 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 61% of its contemporaries.
We're also able to compare this research output to 61 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 55% of its contemporaries.