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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The Chinese medicine formula HB01 reduces choroidal neovascularization by regulating the expression of vascular endothelial growth factor
|
|---|---|
| Published in |
Journal of Translational Medicine, June 2012
|
| DOI | 10.1186/1479-5876-10-118 |
| Pubmed ID | |
| Authors |
Ming Jin, Youhua Zhang, Lin Pan, Renhui Dou, Robert B Nussenblatt, Lai Wei |
| Abstract |
Choroidal neovascularization (CNV) remains the leading cause of newly acquired blindness in the developed world. Currently anti-vascular endothelial growth factor (VEGF) therapies are broadly used to treat neovascular ocular disorders. Here we demonstrate the effect of a traditional Chinese medicine formula, HB01, on CNV. |
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 % |
|---|---|---|
| United States | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 22% |
| Student > Master | 2 | 22% |
| Other | 2 | 22% |
| Student > Bachelor | 1 | 11% |
| Unknown | 2 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 33% |
| Agricultural and Biological Sciences | 1 | 11% |
| Economics, Econometrics and Finance | 1 | 11% |
| Psychology | 1 | 11% |
| Unknown | 3 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 11 December 2023.
All research outputs
#15,470,029
of 24,980,180 outputs
Outputs from Journal of Translational Medicine
#1,960
of 4,531 outputs
Outputs of similar age
#102,982
of 172,304 outputs
Outputs of similar age from Journal of Translational Medicine
#26
of 68 outputs
Altmetric has tracked 24,980,180 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,531 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.8. This one has gotten more attention than average, scoring higher than 54% of its peers.
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 172,304 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 68 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 61% of its contemporaries.