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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identification of a promising PI3K inhibitor for the treatment of multiple myeloma through the structural optimization
|
|---|---|
| Published in |
Journal of Hematology & Oncology, January 2014
|
| DOI | 10.1186/1756-8722-7-9 |
| Pubmed ID | |
| Authors |
Kunkun Han, Xin Xu, Guodong Chen, Yuanying Zeng, Jingyu Zhu, Xiaolin Du, Zubin Zhang, Biyin Cao, Zhaopeng Liu, Xinliang Mao |
| Abstract |
We previously reported a PI3K inhibitor S14161 which displays a promising preclinical activity against multiple myeloma (MM) and leukemia, but the chiral structure and poor solubility prevent its further application. |
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 % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 26% |
| Other | 2 | 9% |
| Student > Bachelor | 2 | 9% |
| Researcher | 2 | 9% |
| Student > Ph. D. Student | 2 | 9% |
| Other | 1 | 4% |
| Unknown | 8 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 4 | 17% |
| Agricultural and Biological Sciences | 4 | 17% |
| Medicine and Dentistry | 3 | 13% |
| Immunology and Microbiology | 2 | 9% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 8 | 35% |
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 19 January 2014.
All research outputs
#20,216,580
of 22,739,983 outputs
Outputs from Journal of Hematology & Oncology
#1,033
of 1,189 outputs
Outputs of similar age
#286,320
of 329,839 outputs
Outputs of similar age from Journal of Hematology & Oncology
#10
of 13 outputs
Altmetric has tracked 22,739,983 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 1,189 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.4. 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 329,839 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 13 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.