As opposed to traditional metrics, which only take into account citation count and journal name to estimate influence, these only represent a limited perspective of a work's value after it has accumulated citations in academic literature. Altmetrics are quantitative measures at the article level that track the various ways that researchers and the general public interact with published work. The alternative metrics that are web and social media-based, commonly referred to as ‘Altmetrics’. It has garnered significant response from the research communities globally. Altmetrics track the reach, use, and reuse of research outcomes, from articles and figures to datasets and code. It's important to note that altmetrics are not meant to replace traditional metrics but rather complement them by providing additional insights. They can be useful for researchers, funding agencies, institutions, and publishers to assess the broader societal impact of research, identify influential research outputs, track trends, and monitor engagement with scholarly content.
Altmetrics take into account various types of online attention and engagement that research outputs receive. These can include:
- Social media mentions
- News and media coverage
- Downloads and views
- Bookmarking and saving
- Online discussions
- Post-publication peer review
- Self publishing (blogging, microblogging, comments, etc.)
- It helps to measure the impact of your work before the academic citations that accumulate over time.
- Both academic and social metrics are taken into account.
- It reflects how the influence of work is changing over time.
- It enables immediate availability of information on the reach and influence of an article.
- These metrics are also a powerful way to navigate and discover others’ work.
There are many companies providing Altmetric Scores, the most exclusive of these are Altmetrics, PlumAnalytics, Lagotto by PLOS and ImpactStory. These companies provide you tools to help you easily identify how much and what type of attention a research output has received.
- An output (journal article, dataset, etc.)
- An identifier attached to the output (DOI, PMID or arXiv ID, etc.)
- Mentions in a source we track
- Volume: how many different people mentions for same article. Only 1 mention from each person per source is counted.
- Sources: where the mentions come from. to attention score. There is different base amount for the mentions coming from different sources that contribute
- Authors: how often the author of each mention talks about scholarly articles, at whether or not there’s any bias towards a particular journal or publisher and at who the audience is (Reference).
- https://badges.altmetric.com/?size=128&score=275&types=mbttttfg
- https://help.altmetric.com/support/solutions/articles/6000241362-introduction-to-the-details-page
- Web scraping: It uses web scraping to collect data from a variety of online sources, including news articles, social media posts, and blogs.
- Natural Language Processing: It uses natural language processing to analyze the text of online mentions to identify mentions of research items.
- Machine learning: machine learning is used to identify and track new online mentions of research items.
- API Integration: Altmetric badges utilize APIs (Application Programming Interfaces) to gather data from various platforms and services. APIs provide a standardized way for altmetric to access data from social media platforms (e.g., Twitter, Facebook), news aggregators, reference management tools (e.g., Mendeley), and other relevant sources. By integrating with these APIs, Altmetric can collect real-time data and provide up-to-date altmetrics for research outputs.
- Social Media APIs: Altmetric badges utilize APIs provided by various social media platforms, such as Twitter, Facebook, LinkedIn, and Reddit. These APIs allow Altmetric to access data related to social media mentions, shares, likes, comments, and other interactions.
- Citation Indexing: It can also incorporate citation data from citation indexing databases, such as CrossRef or Scopus. Citation data provides a measure of the influence and scholarly impact of a research output within the academic community.
- To showcase the impact of your research: Altmetric badges can be used to show your peers and funders the reach and influence of your work.
- To engage with your audience: Altmetric badges can be used to start conversations about your research and to connect with other researchers.
- To track the impact of your research over time: Altmetric badges can be used to track how the online attention surrounding your research changes over time.
- Discover the attention surrounding your research - Altmetric
- Altmetric | AHA/ASA Journals (ahajournals.org)
- altmetrics: a manifesto – altmetrics.org
- Altmetric Badges - Altmetric
- A critical review on altmetrics: can we measure the social impact factor? | Insights into Imaging | Full Text (springeropen.com)
- Plum Analytics metrics are now available to more researchers (elsevier.com)
- https://plos.org/publish/metrics/
- Susan A. Elmore (2018). The Altmetric Attention Score: What Does It Mean and Why Should I Care?. Toxicol Pathol. 2018 Apr; 46(3): 252–255. https://journals.sagepub.com/doi/10.1177/0192623318758294 (last accessed June 03, 2023)
- GarcÃa-Villar, C. A critical review on altmetrics: can we measure the social impact factor?. Insights Imaging 12, 92 (2021). https://doi.org/10.1186/s13244-021-01033-2 (last accessed June 03, 2023)
- Karthikeyan. P. Iyengar, Raju Vaishya, Article-level metrics: A new approach to quantify reach and impact of published research, Journal of Orthopaedics, Volume 40, 2023, Pages 83-86, ISSN 0972-978X, https://doi.org/10.1016/j.jor.2023.05.001.
(https://www.sciencedirect.com/science/article/pii/S0972978X23001083) (last accessed June 03, 2023)
Nice elaborated with example
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