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 |
Osteoblast inhibition by chemokine cytokine ligand3 in myeloma-induced bone disease
|
|---|---|
| Published in |
Cancer Cell International, December 2014
|
| DOI | 10.1186/s12935-014-0132-6 |
| Pubmed ID | |
| Authors |
Rong Fu, Hui Liu, Sijie Zhao, Yihao Wang, Lijuan Li, Shan Gao, Erbao Ruan, Guojin Wang, Huaquan Wang, Jia Song, Zonghong Shao |
| Abstract |
Multiple myeloma is a hematologic malignancy characterized by the accumulation of monoclonal plasma cells in the bone marrow. A common manifestation of the disease is myeloma bone disease (MBD), which is caused by increased osteoclastic bone resorption and decreased bone formation. The chemokine cytokine ligand 3 (CCL3) is a pro-inflammatory protein and chemokine that stimulates osteoclasts in MBD. However, little is known about the effect of CCL3 on osteoblasts (OB). |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 4% |
| Unknown | 25 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 31% |
| Researcher | 5 | 19% |
| Professor > Associate Professor | 4 | 15% |
| Student > Bachelor | 2 | 8% |
| Other | 2 | 8% |
| Other | 4 | 15% |
| Unknown | 1 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 8 | 31% |
| Agricultural and Biological Sciences | 5 | 19% |
| Medicine and Dentistry | 5 | 19% |
| Engineering | 4 | 15% |
| Immunology and Microbiology | 2 | 8% |
| Other | 0 | 0% |
| Unknown | 2 | 8% |
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 29 March 2016.
All research outputs
#17,734,890
of 22,774,233 outputs
Outputs from Cancer Cell International
#978
of 1,796 outputs
Outputs of similar age
#244,442
of 356,566 outputs
Outputs of similar age from Cancer Cell International
#10
of 21 outputs
Altmetric has tracked 22,774,233 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,796 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 39th percentile – i.e., 39% 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 356,566 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 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 52% of its contemporaries.