Top Altmetric Alternatives & Competitors For 2024

Altmetric is generally well-regarded for its comprehensive data collection from a variety of sources, including social media, news outlets, and policy documents. Users appreciate the platform's user-friendly interface and in-depth reporting capabilities, which help institutions and researchers understand the wider impact of their work, gauging the reach of their publications beyond traditional metrics. For example, the platform's "donut visualization" provides a clear picture of the sources driving attention towards a specific publication. However, some users have pointed out that the platform can be pricey. There are occasional concerns about the accuracy and completeness of the data. Additionally, while the interface is generally user-friendly, there might be a learning curve for new users to fully utilize all of its features. Think of it like learning to drive a car – initially, it takes focus, but with time, it becomes second nature. In conclusion, Altmetric Business Intelligence is a powerful tool for academic and research institutions looking to measure the impact of their publications, going beyond simple citation counts. Its strengths lie in its comprehensive data collection, user-friendly interface, and detailed reporting capabilities. While cost and occasional data accuracy concerns exist, its ability to showcase research reach and impact makes it particularly valuable for researchers and institutions aiming to understand the broader influence of their work in today's digital landscape.

MicroStrategy is a patchwork quilt of products on the web, desktop and mobile. There’s MicroStrategy Library where you can access published content and Auto Express for dashboarding and bot creation. Anyone with basic data skills can feed information to a bot and gain insights in seconds.You don’t need a credit card to sign up for the free trial, but you won’t be able to publish content to the server without a paid upgrade. As for choosing which edition to use, there’s the web and the desktop instance. Which one will suit you? Maybe both?MicroStrategy Workstation is for developers and data analysts and is more robust for manipulating data. It provides administrative control, even when offline, and helps prototype content before it goes live. Combining multiple visualizations on a single page provided me with more context for the same data.On the other hand, the Workstation version lacks the same level of natural language processing as the web version.MicroStrategy Web is for delivering content to your clients. Being online, it’s open to seamless upgrades and customization, and identity management and collaboration are built in. If you have a small organization, the web version might suffice, but you might want to consider going for both if you deal with large data volumes.Metadata mapping was immensely useful to me when designing a bot using MicroStrategy Auto Express. All I needed to do was feed it the data, and it generated a slew of questions I might want to ask.With a semantic layer, Microstrategy is among the BI tools that work best with large data warehouses. If you’ve just started in business or haven’t got large data volumes yet, you might want to consider a simpler tool.An oft-repeated sentiment in user reviews was that this motley crew of products — web, desktop and mobile — didn’t always sync. The vendor positions MicroStrategy One as a unified solution that’ll, hopefully, eliminate these annoyances.On the flip side, quite a few users said it could be clunky for inexperienced users. Also, some reviewers said it slowed on occasion. Most people said the solution was expensive and found its learning curve quite steep.In summary, MicroStrategy is worth considering, especially if you’re a medium or large-sized company looking for a web reporting tool with a user-friendly interface.

Our researchers ranked products on a whole bunch of features. They include data management, querying and visualization, advanced and embedded analytics, mobile BI, and IoT and location analytics.In our rankings, Power BI scores 87 for connectivity, leaving behind Tableau, Oracle Analytics and Dundas BI. Robust Microsoft technology is one reason, for sure. Besides, intelligent techniques like DirectQuery and easy data modeling make it popular among users.In product reviews, some users mentioned a lag when sharing reports from the desktop to the cloud. For me, the platform was a tad slow to start, but otherwise, it stayed performant for my average-sized dataset.When dealing with sales data, total sales, the top-performing products, seasonality and period trends are common queries. Creating a sales KPI report in Power BI was an excellent way for me to answer them. My CSV files included sales, calendar, products and store data.Connecting to sources is straightforward with Get Data on the home screen and toolbar. Once I had pulled in the data, I clicked on Transform Data and opened the Power Query editor. It automatically detects the data type for strings and numbers but can get confused with dates and currency, which it marks as text. It involved some manual wrangling, but I had it sorted in no time. Read my article on KPI Reports to learn how I did it.But I wouldn’t call it a deal-breaker as it’s not a tedious task. I had the same experience with Qlik Sense, but Tableau was way better as it recognizes seven data types — string, number, date, date and time, boolean, geographic and cluster values.Tracking sales over periods required a greater level of detail, so I added new columns to the calendar data — start of month and start of week. Column statistics were immensely helpful in identifying unique, distinct and null values and correcting incomplete records. Clicking on the number of products selling at a particular price allowed me to see which toys sold at that price.Creating a relational data model by defining primary keys is a manual process and seems dated once you’ve used Qlik Sense. Adding calculated measures is where DAX shows its magic. For data workers well-versed with SQL, DAX is a ready-to-go tool they’ll be glad to have in their corner.Creating visualizations wasn’t as intuitive as Tableau as it involved drag-and-drop onto the canvas, and frankly, I felt like I was flying blind. I didn’t feel that way with Tableau, and it’s slicker.Power BI offers a paintbrush tool that lets you define the layout, the card arrangement and the maximum number of cards. You can define the canvas settings, background and headers and determine the filter pane settings. It took me longer to create a dashboard from scratch than it took in Tableau.Some users found the pricing structure too complex. While using Azure data in Power BI for basic queries is free, costs can add up when you go for text and sentiment analysis. With Microsoft Fabric, the pricing complexity is set to rise. Though Power BI is available separately too, you’ll need to rely on Fabric to manage users, licenses and other administrative tasks.About 31% of the users mentioning cost complained about onboarding difficulties, possibly because DAX introduces the complexity of learning syntax. It can daunt non-technical users initially, but guided formulas can make the task easier. That said, I agree with the majority of user reviews that training will speed up onboarding and help your team maximize the investment.Overall, Power BI has many powerful features and will give you value for your money. If you’re not a Microsoft user yet, it’s worth checking out for the baked-in vendor technologies like Azure and SSAS. If you are an MS user, Power BI might be a no-brainer, though be prepared to shell out a little extra for advanced functionality and additional modules.

InsightSquared is a powerful sales analytics platform that helps users drive sales pipelines and access self-service data analytics through robust features and interactive data visualizations. According to many users who discussed data integration, the tool interacts seamlessly with other applications and data sources to enable predictive analytics that help forecast future trends. Most of the users who mentioned support said that they are responsive and knowledgeable. A majority of the users who reviewed the interface said that it’s user-friendly and easily navigable, though some users said that the versatility of the platform makes it complex to learn. Many users who discussed the platform’s visualization capabilities said that it provides a wide range of interactive and intuitive out-of-the-box dashboards. A majority of the users who discussed data analytics said that the platform excels in analyzing historical data to better forecast future trends, though some users said that the scope of predictive analytics should be wider to provide better insights. According to many users who mentioned functionality, the solution provides many ways to explore data-based insights through deep-dive and pivoting on key metrics, though some users said that the platform is not easily customizable. Many users who mentioned reporting said that the solution provides a plethora of out-of-the-box reports that can be customized and exported easily, though some users said that there is limited flexibility in report customization. On the flip side, a majority of the users who reviewed speed said that the platform is slow when moving between templates and can become CPU-intensive with large dashboards, though some users said that it can slice and dice data to present relevant information in seconds. Many users who mentioned pricing said that necessary customization modules add to the cost of the software, which makes adoption difficult for small businesses. Many users said that though training is needed to maximize the tool’s potential, lack of adequate documentation makes the learning curve steep. In summary, InsightSquared is a self-service revenue intelligence tool that provides a single source of truth for sales analytics and forecasting pipeline management. It boosts productivity across the organization, though its pricing can be cost-prohibitive for small businesses.

Let's crunch some numbers and see what users have to say about Mathematica! Mathematica has garnered a reputation as a powerful computational tool, particularly in academic and research settings. Users frequently praise its symbolic computation capabilities, allowing them to manipulate and solve complex mathematical expressions and equations with ease. This strength sets Mathematica apart from competitors like MATLAB, which primarily focuses on numerical computation. Mathematica's notebook interface also receives positive feedback for its ability to combine code, visualizations, and text in a single document, facilitating reproducible research and clear communication of findings. However, Mathematica's steep learning curve and high price point are often cited as drawbacks. Users transitioning from other programming languages may find Mathematica's syntax and functional programming paradigm challenging to grasp initially. Additionally, the cost of a Mathematica license can be prohibitive for individual users or small businesses. Overall, Mathematica is best suited for researchers, scientists, and engineers who require a comprehensive tool for symbolic and numerical computation, data analysis, and visualization. Its extensive functionality and ability to handle complex mathematical problems make it an invaluable asset in these fields. However, individuals or organizations with limited budgets or those seeking a more user-friendly option may want to explore alternative software solutions. Keep in mind that software is constantly evolving, so it's always a good idea to check for the latest updates and user reviews to make an informed decision.