| Title |
Excessive mechanical loading promotes osteoarthritis through the gremlin-1–NF-κB pathway
|
|---|---|
| Published in |
Nature Communications, March 2019
|
| DOI | 10.1038/s41467-019-09491-5 |
| Pubmed ID | |
| Authors |
Song Ho Chang, Daisuke Mori, Hiroshi Kobayashi, Yoshifumi Mori, Hideki Nakamoto, Keita Okada, Yuki Taniguchi, Shurei Sugita, Fumiko Yano, Ung-il Chung, Joo-ri Kim-Kaneyama, Motoko Yanagita, Aris Economides, Ernesto Canalis, Di Chen, Sakae Tanaka, Taku Saito |
X Demographics
The data shown below were collected from the profiles of 4 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 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 197 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 197 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 39 | 20% |
| Student > Master | 22 | 11% |
| Researcher | 18 | 9% |
| Student > Bachelor | 17 | 9% |
| Student > Doctoral Student | 9 | 5% |
| Other | 26 | 13% |
| Unknown | 66 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 29 | 15% |
| Medicine and Dentistry | 23 | 12% |
| Engineering | 16 | 8% |
| Agricultural and Biological Sciences | 15 | 8% |
| Materials Science | 9 | 5% |
| Other | 23 | 12% |
| Unknown | 82 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 23. 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 12 April 2024.
All research outputs
#1,692,258
of 25,703,943 outputs
Outputs from Nature Communications
#23,694
of 58,146 outputs
Outputs of similar age
#37,837
of 365,108 outputs
Outputs of similar age from Nature Communications
#597
of 1,354 outputs
Altmetric has tracked 25,703,943 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 58,146 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 55.5. This one has gotten more attention than average, scoring higher than 59% 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 365,108 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 89% of its contemporaries.
We're also able to compare this research output to 1,354 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 55% of its contemporaries.