You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
A long-acting anti–IL-8 antibody improves inflammation and fibrosis in endometriosis
|
|---|---|
| Published in |
Science Translational Medicine, February 2023
|
| DOI | 10.1126/scitranslmed.abq5858 |
| Pubmed ID | |
| Authors |
Ayako Nishimoto-Kakiuchi, Izumi Sato, Kiyotaka Nakano, Hiroshi Ohmori, Yoko Kayukawa, Hiromi Tanimura, Sachiya Yamamoto, Yuichiro Sakamoto, Genki Nakamura, Atsuhiko Maeda, Kentaro Asanuma, Atsuhiko Kato, Tadashi Sankai, Ryo Konno, Hisafumi Yamada-Okabe |
X Demographics
The data shown below were collected from the profiles of 89 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 | 13 | 15% |
| United Kingdom | 6 | 7% |
| France | 4 | 4% |
| Australia | 3 | 3% |
| India | 3 | 3% |
| Spain | 2 | 2% |
| Mexico | 2 | 2% |
| Ireland | 2 | 2% |
| Canada | 2 | 2% |
| Other | 12 | 13% |
| Unknown | 40 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 66 | 74% |
| Scientists | 14 | 16% |
| Practitioners (doctors, other healthcare professionals) | 9 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 35 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 6 | 17% |
| Student > Ph. D. Student | 6 | 17% |
| Researcher | 4 | 11% |
| Other | 4 | 11% |
| Unspecified | 3 | 9% |
| Other | 3 | 9% |
| Unknown | 9 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 10 | 29% |
| Immunology and Microbiology | 4 | 11% |
| Medicine and Dentistry | 3 | 9% |
| Unspecified | 2 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 6% |
| Other | 2 | 6% |
| Unknown | 12 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 399. 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 04 October 2023.
All research outputs
#76,788
of 25,738,558 outputs
Outputs from Science Translational Medicine
#253
of 5,473 outputs
Outputs of similar age
#2,075
of 428,192 outputs
Outputs of similar age from Science Translational Medicine
#9
of 74 outputs
Altmetric has tracked 25,738,558 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,473 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 86.9. This one has done particularly well, scoring higher than 95% 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 428,192 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 74 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.