| Title |
Disabling the Nuclear Translocalization of RelA/NF-κB by a Small Molecule Inhibits Triple-Negative Breast Cancer Growth
|
|---|---|
| Published in |
Breast cancer targets and therapy, July 2021
|
| DOI | 10.2147/bctt.s310231 |
| Pubmed ID | |
| Authors |
Hirotaka Kanzaki, Avradip Chatterjee, Hanieh Hossein Nejad Ariani, Xinfeng Zhang, Stacey Chung, Nan Deng, V Krishnan Ramanujan, Xiaojiang Cui, Mark I Greene, Ramachandran Murali |
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 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 29% |
| Lecturer | 2 | 10% |
| Student > Bachelor | 2 | 10% |
| Student > Ph. D. Student | 1 | 5% |
| Student > Doctoral Student | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 7 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 8 | 38% |
| Engineering | 2 | 10% |
| Philosophy | 1 | 5% |
| Computer Science | 1 | 5% |
| Agricultural and Biological Sciences | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 8 | 38% |
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 15 July 2021.
All research outputs
#23,124,762
of 25,774,185 outputs
Outputs from Breast cancer targets and therapy
#290
of 328 outputs
Outputs of similar age
#390,692
of 456,063 outputs
Outputs of similar age from Breast cancer targets and therapy
#6
of 7 outputs
Altmetric has tracked 25,774,185 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 328 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 456,063 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one.