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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Biomarkers for immune thrombocytopenia
|
|---|---|
| Published in |
Biomarker Research, July 2015
|
| DOI | 10.1186/s40364-015-0045-0 |
| Pubmed ID | |
| Authors |
Lingjia Yu, Chunmei Zhang, Liping Zhang, Yongyu Shi, Xuebin Ji |
| Abstract |
Immune thrombocytopenia is an autoimmune disease with abnormal biomarkers. Immune thrombocytopenia pathogenesis is a complicated process in which the patient's immune system is activated by platelet autoantigens resulting in immune mediated platelet destruction or suppression of platelet production. The autoantibodies produced by autoreactive B cells against self antigens are considered to play a crucial role. In addition, biomarkers such as transforming growth factor-beta1,Toll-like receptors,T helper 1 andT helper 2 cytokine bias, Notch signaling and abnormal biomarker in megakaryocyte maturation are involved in the pathogenesis of this disease. With the genomewide association study on immune thrombocytopenia, more biomarkers will be founded in the future. They may provides a theoretical basis for the mechanism and treatment of immune thrombocytopenia. |
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 Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 21% |
| Student > Bachelor | 5 | 21% |
| Other | 3 | 13% |
| Researcher | 2 | 8% |
| Student > Postgraduate | 2 | 8% |
| Other | 5 | 21% |
| Unknown | 2 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 33% |
| Biochemistry, Genetics and Molecular Biology | 6 | 25% |
| Agricultural and Biological Sciences | 2 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 4% |
| Veterinary Science and Veterinary Medicine | 1 | 4% |
| Other | 4 | 17% |
| 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 18 July 2015.
All research outputs
#18,418,919
of 22,817,213 outputs
Outputs from Biomarker Research
#216
of 312 outputs
Outputs of similar age
#188,875
of 262,407 outputs
Outputs of similar age from Biomarker Research
#3
of 7 outputs
Altmetric has tracked 22,817,213 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 312 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 20th percentile – i.e., 20% 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 262,407 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.