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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Computational analyses of curcuminoid analogs against kinase domain of HER2
|
|---|---|
| Published in |
BMC Bioinformatics, August 2014
|
| DOI | 10.1186/1471-2105-15-261 |
| Pubmed ID | |
| Authors |
Wannarat Yim-im, Orathai Sawatdichaikul, Suwanna Semsri, Natharinee Horata, Wanwimon Mokmak, Sissades Tongsima, Apichart Suksamrarn, Kiattawee Choowongkomon |
| Abstract |
Human epidermal growth factor receptor 2 (HER2) has an important role in cancer aggressiveness and poor prognosis. HER2 has been used as a drug target for cancers. In particular, to effectively treat HER2-positive cancer, small molecule inhibitors were developed to target HER2 kinase. Knowing that curcumin has been used as food to inhibit cancer activity, this study evaluated the efficacy of natural curcumins and curcumin analogs as HER2 inhibitors using in vitro and in silico studies. The curcumin analogs considered in this study composed of 4 groups classified by their core structure, β-diketone, monoketone, pyrazole, and isoxazole. |
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 % |
|---|---|---|
| Norway | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Iran, Islamic Republic of | 1 | 1% |
| Malaysia | 1 | 1% |
| Unknown | 84 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 21 | 24% |
| Student > Ph. D. Student | 10 | 12% |
| Student > Master | 8 | 9% |
| Researcher | 5 | 6% |
| Student > Doctoral Student | 5 | 6% |
| Other | 19 | 22% |
| Unknown | 18 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 18 | 21% |
| Chemistry | 12 | 14% |
| Agricultural and Biological Sciences | 8 | 9% |
| Pharmacology, Toxicology and Pharmaceutical Science | 7 | 8% |
| Engineering | 5 | 6% |
| Other | 15 | 17% |
| Unknown | 21 | 24% |
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 04 August 2014.
All research outputs
#15,303,385
of 22,759,618 outputs
Outputs from BMC Bioinformatics
#5,372
of 7,273 outputs
Outputs of similar age
#132,940
of 229,815 outputs
Outputs of similar age from BMC Bioinformatics
#90
of 125 outputs
Altmetric has tracked 22,759,618 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 7,273 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 18th percentile – i.e., 18% 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 229,815 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 125 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.