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| Title |
Connective Tissue Growth Factor: From Molecular Understandings to Drug Discovery
|
|---|---|
| Published in |
Frontiers in Cell and Developmental Biology, October 2020
|
| DOI | 10.3389/fcell.2020.593269 |
| Pubmed ID | |
| Authors |
Zihao Chen, Ning Zhang, Hang Yin Chu, Yuanyuan Yu, Zong-Kang Zhang, Ge Zhang, Bao-Ting Zhang |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 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 143 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 143 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 10% |
| Student > Ph. D. Student | 13 | 9% |
| Student > Master | 10 | 7% |
| Student > Doctoral Student | 9 | 6% |
| Student > Bachelor | 7 | 5% |
| Other | 18 | 13% |
| Unknown | 71 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 16 | 11% |
| Biochemistry, Genetics and Molecular Biology | 12 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 11 | 8% |
| Immunology and Microbiology | 7 | 5% |
| Engineering | 5 | 3% |
| Other | 20 | 14% |
| Unknown | 72 | 50% |
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 21 November 2020.
All research outputs
#15,112,399
of 23,257,423 outputs
Outputs from Frontiers in Cell and Developmental Biology
#3,306
of 9,274 outputs
Outputs of similar age
#245,388
of 420,590 outputs
Outputs of similar age from Frontiers in Cell and Developmental Biology
#187
of 588 outputs
Altmetric has tracked 23,257,423 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,274 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 56% 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 420,590 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 588 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 59% of its contemporaries.