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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Beneficial effects of non-matched allogeneic cord blood mononuclear cells upon patients with idiopathic osteoporosis
|
|---|---|
| Published in |
Journal of Translational Medicine, May 2012
|
| DOI | 10.1186/1479-5876-10-102 |
| Pubmed ID | |
| Authors |
Jun Li, Li Zhang, Liang Zhou, Zheng-Ping Yu, Feng Qi, Bei Liu, Su-Xia Zi, Li Li, Yi Li, San-Bin Wang, Zheng-Jiang Cui, Xing-Hua Pan |
| Abstract |
Immunological arguments and historical examples have shown that treatment with cord blood for non-hematopoietic activities, such as growth factor production and stimulation of angiogenesis, may not require matching or immune suppression. |
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 % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 33% |
| Student > Bachelor | 2 | 11% |
| Professor | 2 | 11% |
| Student > Postgraduate | 2 | 11% |
| Researcher | 2 | 11% |
| Other | 2 | 11% |
| Unknown | 2 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 33% |
| Agricultural and Biological Sciences | 4 | 22% |
| Environmental Science | 1 | 6% |
| Biochemistry, Genetics and Molecular Biology | 1 | 6% |
| Business, Management and Accounting | 1 | 6% |
| Other | 2 | 11% |
| Unknown | 3 | 17% |
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 01 November 2012.
All research outputs
#15,255,201
of 22,684,168 outputs
Outputs from Journal of Translational Medicine
#2,223
of 3,962 outputs
Outputs of similar age
#103,993
of 163,655 outputs
Outputs of similar age from Journal of Translational Medicine
#27
of 62 outputs
Altmetric has tracked 22,684,168 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 3,962 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one is in the 31st percentile – i.e., 31% 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 163,655 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 62 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 50% of its contemporaries.