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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Purpose-Synthesised Anti-Fibrotic Agent Attenuates Experimental Kidney Diseases in the Rat
|
|---|---|
| Published in |
PLOS ONE, October 2012
|
| DOI | 10.1371/journal.pone.0047160 |
| Pubmed ID | |
| Authors |
Richard E. Gilbert, Yuan Zhang, Spencer J. Williams, Steven C. Zammit, David I. Stapleton, Alison J. Cox, Henry Krum, Robyn Langham, Darren J. Kelly |
| Abstract |
Locally-active growth factors have been implicated in the pathogenesis of many diseases in which organ fibrosis is a characteristic feature. In the setting of chronic kidney disease (CKD), two such pro-fibrotic factors, transforming growth factor-β (TGF-β) and platelet-derived growth factor (PDGF) have emerged as lead potential targets for intervention. Given the incomplete organ protection afforded by blocking the actions of TGF-β or PDGF individually, we sought to determine whether an agent that inhibited the actions of both may have broader effects in ameliorating the key structural and functional abnormalities of CKD. |
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 | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 20% |
| Professor | 3 | 12% |
| Other | 3 | 12% |
| Student > Bachelor | 3 | 12% |
| Student > Master | 2 | 8% |
| Other | 6 | 24% |
| Unknown | 3 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 36% |
| Agricultural and Biological Sciences | 4 | 16% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 12% |
| Biochemistry, Genetics and Molecular Biology | 2 | 8% |
| Physics and Astronomy | 1 | 4% |
| Other | 3 | 12% |
| Unknown | 3 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 26 March 2024.
All research outputs
#4,194,987
of 23,577,761 outputs
Outputs from PLOS ONE
#63,911
of 202,084 outputs
Outputs of similar age
#29,925
of 174,156 outputs
Outputs of similar age from PLOS ONE
#897
of 4,566 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 202,084 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.3. This one has gotten more attention than average, scoring higher than 68% 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 174,156 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 4,566 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.