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24 results for “scientific impact”
Figure 2 in Measuring the scientific impact of FishBase after three decades
Figure 2. – Four indicators for the impact of FishBase. A: Annual number of 'hits' that the FishBase webpage has been receiving since 1998. Data derived from https://www.fishbase.se/WebUse.php?yr=All. *'hits' are defined as all requests made to the server and are used as a representation of FishBase usage. The number of substantial user sessions is by default considerably lower, i.e., around 1 million per month in 2020. B:Annual number of citations to FishBase, based on data from Scopus (www.scopus.com, accessed on August 16, 2021). C: Annual number of citations to FishBase, based on data from Google Scholar (www.scholar.google.com, accessed on January 13, 2021). D: Occurrence in famons (1 famon = 10-6 relative % Ngram frequency: Stergiou, 2017) of the term "fishbase" (case insensitive) in the corpora of English (American and British), French, and Spanish books published between 1994 and 2018, based on data from the Google Books Ngram Corpus (http://books.google.com/ngrams; accessed on October 2, 2021).
Figure 4 in Measuring the scientific impact of FishBase after three decades
Figure 4. – Subject areas and context of FishBase citations. A: Number of documents citing FishBase by subject area, based on data from Scopus (www.scopus.com, accessed on August 16, 2021). Note that documents may fall into more than one category. B: Context in which the 107 most highly cited papers (1% of the total FishBase citations from 1994 to 2020, based on Scopus) reference FishBase (neutral/ technical, positive, negative) and C: How they use it (as a source of data or a simple reference to it).
Figure 3 in Measuring the scientific impact of FishBase after three decades
Figure 3. – Bubble map visualization of the global distribution of FishBase citations for the period 1994-2020, based on data from Scopus (www.scopus.com, accessed on August 16, 2021). Bubble size is relative to the number of documents citing FishBase (maximum number: 2,022 documents produced by the United States of America).
Data for recreating figures of scientific paper by Hermanson et al on volcanic impacts on climate
<p>This data is the data necessary to recreate the figures that appear in a draft manuscript submitted to the AGU journal Journal of Geophysical Research - Atmospheres for peer review. When / if the manuscript is accepted then the article will be linked from here. The data is in netcdf files. The data was created by processing (mainly averaging) data from five different institutions. It was given to the authors for the purpose of scientific research only.</p>
The impact of the COVID-19 pandemic on scientific research in the life sciences
<p>This repository contains the code to replicate the analysis for the paper: "The impact of the COVID-19 pandemic on scientific research in the fife sciences." Detailed instructions on how to run the code are available in the README.md</p>
The Pontifical Bolivarian University and 2030 Agenda: Scientific production, access modalities, and social media impact.
<p><span>The 2030 Agenda and SDGs promote global resilience. Universities play a crucial role in their implementation through research and education. Recent studies analyze SDG-related scientific production, but evaluating the accessibility and social impacts of these results remains lacking. The article aims to analyze the intersection between SDGs, open access, and social impact of science, based on an analysis of PBU academic production in Colombia. A mixed-method approach is employed, combining quantitative and qualitative elements with scientometric techniques and data mining analysis, as well as big data from the perspective of Social Sciences. PBU scientific production analysis reveals increased research activity, with most publications available in open access. Thematic focuses such as health, sustainable development, and energy are highlighted. Thematic diversity reflects a multidisciplinary approach, but there is low production in key areas of sustainable development. Social media attention highlights topics like health, equality, and energy. Open access shows a strong correlation with online attention, emphasizing its importance in amplifying research impact. Although closed research also receives online attention, especially from academics. Greater focus is needed on inclusive publishing strategies and social media dissemination to address global challenges.</span></p>
Dataset of relationship of collaboration and scientific impact
<p>This dataset was used as part of results of an scientific article whom abstract is:</p> <p>The relationship between international collaboration and scientific impact is studied in the context of South American universities. This study aims to comprehensively analyze the strength of this relationship using nonparametric statistical methods. The records are the 244300 papers published in journals indexed in Scopus (2011-2020) by researchers affiliated to 10 South American public universities and extracted with Scival support. There is a marked trend of collaborative work, since 93% of publications were collaborative at institutional, national or international level, with a higher percentage of international collaboration. A refined analysis of the geographic collaboration of publications in Q1 journals further evidences the frequency of international collaboration. In the top 4 collaborating partner institutions for each university, the presence of the Centre National de la Recherche Scientifique of France<br> (CNRS) is observed, followed by the National Council for Scientific and Technical Research of Argentina (Conicet). It is proven that there is a statistically significant relationship (p < .01) in each of the 10 universities between collaboration (number of<br> countries) and normalized impact (FWCI). The results confirmed the hypothesis of this study and the authors provide practical recommendations for science policy makers and researchers, including the promotion of strategic collaboration between different<br> institutional sectors of society to increase the impact of publications.</p>
OAPEN-CH – The impact of open access on scientific monographs in Switzerland. A project conducted by the Swiss National Science Foundation (SNSF)
<p>The Swiss National Science Foundation (SNSF) launched the OAPEN-CH pilot project in summer 2014. At that time, it had introduced new funding policies that only covered books that were published online and openly accessible after an embargo period of no more than 24 months. The pilot study set out to learn more about the changes to academic publishing and pave the way for future adaptations to funding policies.</p> <p>The findings of the shared learning process are now available. They are encouraging in that they produce a clear verdict for the scientific monograph: a digital edition that is freely available on the Internet increases the trackability, visibility and use of monographs. Open access does not have a negative impact on printed book sales. Facilitating and promoting open access will benefit the academic community and society at large as well as publishers and funders.</p> <p>The results of the OAPEN-CH pilot study have already been integrated into the new open access policy of the SNSF, which entered into force on 1 April 2018.</p>
Data for: Ecological impacts of extreme climatic events on terrestrial and freshwater biota in the Arctic: A synthesis of current scientific evidence and opportunities
<p>File contains the results of a literature review on the ecological impacts of extreme climatic events on terrestrial and freshwater biota in the Arctic.</p>
Supplemental networks of cowords of the paper Measuring the impact of Big Data in the scientific research in Agriculture and allied fields
<p>Supplemental networks of cowords of the paper Measuring the impact of Big Data in the scientific research in Agriculture and allied fields.</p>
High-impact Scientific Software in Astronomy and its creators - data
<p>data for the article "High-impact Scientific Software in Astronomy and its creators"</p>
Data from: Bringing ecology blogging into the scientific fold: measuring reach and impact of science community blogs
The popularity of science blogging has increased in recent years, but the number of academic scientists who maintain regular blogs is limited. The role and impact of science communication blogs aimed at general audiences is often discussed, but the value of science community blogs aimed at the academic community has largely been overlooked. Here, we focus on our own experiences as bloggers to argue that science community blogs are valuable to the academic community. We use data from our own blogs (n = 7) to illustrate some of the factors influencing reach and impact of science community blogs. We then discuss the value of blogs as a standalone medium, where rapid communication of scholarly ideas, opinions, and short observational notes can enhance scientific discourse, and discussion of personal experiences can provide indirect mentorship for junior researchers and scientists from underrepresented groups. Finally, we argue that science community blogs can be treated as a primary source and provide some key points to consider when citing blogs in peer-reviewed literature.
Submission to Special Issue of Quantitative Science Studies "Scientific Knowledge Graphs and Research Impact Assessment"
<p>To be added</p>
Analysis of the Impact of Major Emergencies on Scientific Research
<p>All the data is downloaded from the China National Knowledge Infrastructure (CNKI) database and the Web of Science (WoS) database. We employ bibliometrics and data visualization methods to analyze the published literature. Our extensive experiments using CiteSpace from the aspects of keyword analysis, co-occurrence analysis, and other measures confirm that this framework can provide an effective reference for the research direction mining of similar events.</p>
Diversity of Expertise is Key to Scientific Impact: a Large Scale Analysis in the Field of Computer Science
<p><strong>This repository is companion to a research paper with the following abstract:</strong></p> <p>Understanding the relationship between the composition of a research team and the potential impact of their research papers is crucial as it can steer the development of new science policies for improving the research enterprise. Numerous studies assess how the characteristics and diversity of research teams can influence their performance across several dimensions: ethnicity, internationality, size, and others. In this paper, we explore the impact of diversity in terms of the authors’ expertise and skills. To this purpose, we retrieved 114K papers in the field of Computer Science and analysed how the diversity of research fields within a research team relates to the number of citations their papers received in the upcoming 5 years. The results show that two different metrics reflecting the diversity of expertise are directly associated with the number of citations. This suggests that, at least in Computer Science, diversity of expertise is key to scientific impact.</p>
Data from: Bringing ecology blogging into the scientific fold: measuring reach and impact of science community blogs
Open the record for dataset details and reuse information.
Scientific shortcomings in environmental impact statements internationally
Open the record for dataset details and reuse information.
A multidimensional framework for characterizing the citation impact of scientific publications
<p>This data set pertains to the following research article: Bu, Y., Waltman, L., & Huang, Y. (2020). <em>A multidimensional framework for characterizing the citation impact of scientific publications</em>. arXiv:1901.09663.</p>
Data from: Impact of lexical and sentiment factors on the popularity of scientific papers
We investigate how textual properties of scientific papers relate to the number of citations they receive. Our main finding is that correlations are nonlinear and affect differently the most cited and typical papers. For instance, we find that, in most journals, short titles correlate positively with citations only for the most cited papers, whereas for typical papers, the correlation is usually negative. Our analysis of six different factors, calculated both at the title and abstract level of 4.3 million papers in over 1500 journals, reveals the number of authors, and the length and complexity of the abstract, as having the strongest (positive) influence on the number of citations.
Aurora Publications 2022 | 700.000+ records | Enriched with data measuring Societal Relevance, Societal Impact and Scientific Impact, using SDG's, Unpaywall, Altmetric, Scite and Scival
<p>This data set contains 700.000+ publications from all Aurora Universities in the period from the early1700's till mid 2022.</p> <p>Additional tables are added with enrichment data:</p> <ul> <li>Societal Relevance data: <ul> <li>SDG probabilities,</li> </ul> </li> <li>Societal Impact data: <ul> <li>Altmetric Mentions in News, Policy and Patents,</li> <li>Unpaywall Open Access Status,</li> </ul> </li> <li>Scientific Impact data: <ul> <li>Scival Field Weighted Citation Impact</li> <li>Scite Citation Sentiment</li> </ul> </li> </ul> <p>The enrichment tables can be connected to the master table with the publications by DOI, row numbers, university name and SDG label, as follows:</p> <p><a href="https://zenodo.org/api/files/07fb51a8-5b1c-4a2e-8d94-6b9dd540832f/aurora-connecting-tables.png">https://zenodo.org/api/files/07fb51a8-5b1c-4a2e-8d94-6b9dd540832f/aurora-connecting-tables.png</a></p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.