ArticlePloS one2017
Identifying the trends in wound-healing patents for successful investment strategies.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed, 27 citations in OpenAlex.
- Polymer-Based Hydrogel Loaded with Honey in Drug Delivery System for Wound Healing Applications.Polymers · 2023Review
- Editorial: Interfacial strategies to manipulate tissue interactions for wound healing.Frontiers in bioengineering and biotechnology · 2022Article
- Enhancing wound healing dressing development through interdisciplinary collaboration.Journal of biomedical materials research. Part B, Applied biomaterials · 2021Review
- Characterizing News Report of the Substandard Vaccine Case of Changchun Changsheng in China: A Text Mining Approach.Vaccines · 2020Article
- Technological Innovations in Disease Management: Text Mining US Patent Data From 1995 to 2017.Journal of medical Internet research · 2019Article
- Article
- The role of bone marrow mononuclear cell-conditioned medium in the proliferation and migration of human dermal fibroblasts.Cellular & molecular biology letters · 2017Article
- Accelerated Wound Healing on the Skin Using a Film Dressing with β-Glucan Paramylon.In vivo (Athens, Greece)Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundRecently, the need for rapid wound-healing has significantly increased because of the increasing number of patients who are diagnosed with diabetes and obesity. These conditions have contributed to a surge in the number of patients with chronic wounds worldwide. Furthermore, many cost-effective wound-healing technologies have been developed in order to keep up with the increased demand. In this paper, we performed a quantitative study of the trends associated with wound-healing technologies using patent data. METHODOLOGY: We analyzed the trends considering four different groups of patent applicants: firms, universities, research institutes, and individuals using a structural topic model. In addition, we analyzed the knowledge flow between patent applicants using citation analysis, and confirmed the role of applicants in the knowledge-flow network using k-means clustering. As a result, the primary wound-healing technology patents applied for by the four groups varied considerably, and we classified the roles of patent applicants were found in the knowledge-flow network.
conclusionsOur results showed the organizations that are leading each area of wound-healing technology. Furthermore, from the results, we identified specific institutions that are efficient for spreading knowledge related to wound-healing technology based on the patents. This information can contribute to the planning of investment strategies and technology policies related to wound-healing.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.