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X Demographics
Mendeley readers
Attention Score in Context
Title |
Disulfiram targeting lymphoid malignant cell lines via ROS-JNK activation as well as Nrf2 and NF-kB pathway inhibition
|
---|---|
Published in |
Journal of Translational Medicine, June 2014
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DOI | 10.1186/1479-5876-12-163 |
Pubmed ID | |
Authors |
Jie Zha, Feili Chen, Huijuan Dong, Pengcheng Shi, Yao Yao, Yanyan Zhang, Rongwei Li, Shiyun Wang, Peng Li, Weiguang Wang, Bing Xu |
Abstract |
Disulfiram (DS), an anti-alcoholism drug, demonstrates strong antitumor activity in a copper (Cu)-dependent manner. This study investigates the cytotoxicity of DS/Cu complex in lymphoid malignant cell lines in vitro and in vivo. |
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 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 50 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 7 | 14% |
Researcher | 6 | 12% |
Student > Ph. D. Student | 6 | 12% |
Student > Doctoral Student | 4 | 8% |
Librarian | 2 | 4% |
Other | 6 | 12% |
Unknown | 19 | 38% |
Readers by discipline | Count | As % |
---|---|---|
Chemistry | 6 | 12% |
Agricultural and Biological Sciences | 6 | 12% |
Pharmacology, Toxicology and Pharmaceutical Science | 5 | 10% |
Biochemistry, Genetics and Molecular Biology | 4 | 8% |
Medicine and Dentistry | 4 | 8% |
Other | 4 | 8% |
Unknown | 21 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 07 December 2017.
All research outputs
#3,189,133
of 22,757,090 outputs
Outputs from Journal of Translational Medicine
#522
of 3,978 outputs
Outputs of similar age
#33,161
of 228,651 outputs
Outputs of similar age from Journal of Translational Medicine
#5
of 66 outputs
Altmetric has tracked 22,757,090 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,978 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has done well, scoring higher than 86% 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 228,651 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 66 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 92% of its contemporaries.