To help empower your academic research, the ACI Scholarly Blog Index offers a diverse set of workflow tools and features to help you find the best blogs for your research topic or field of study. From discovery to resource sharing and potential collaboration, ACI’s tools tackle a number of research wants and needs – and one thing that online researchers find increasingly valuable are social influence and other alternative metrics.
To meet this need, the ACI Scholarly Blog Index has a powerful feature called the Community Activity Score that takes into account both views in ACI and the blog’s own social sharing statistics for every blog post and author in ACI to give you comprehensive information on the influence and social sharing history of that particular blog post or author.
Community Activity Score
When you visit the page for any blog post in ACI, that post’s Community Activity Score will be in the upper-right corner of the page. This at-a-glance score provides the percentile calculation of that post compared with all other posts in ACI. For example, a score of 75 means that a given blog post is in the top 25% of all posts in ACI, while a score of 25 would mean that 75% of ACI posts ranked above that post. A score of zero means that the post has not yet been ranked.
From any blog post page, you can just click on the score shown in the upper-right corner to see more details on the ACI views and total sharing activity for that post – both within ACI and from the blog itself. You can even see the total number of shares for individual social media connections.
For example, in the Community Activity Score shown below, we can see that this particular blog post had 6,962 shares among the social networking platforms connected to that blog or blog author. The more social networking data that particular blog contains, the more information that can be pulled from the blog’s overall analytics. But because that post’s influence or popularity may vary depending on platform, ACI breaks this down further so that you can see where these numbers are piling up:
So in this example, we can see that it’s been shared via Facebook almost 7,000 times, and – somewhat surprisingly – shared far less on Twitter with a score of 42. Google+ ranks last in this case for shares by readers, with only one share. Depending on your needs, such data might be useful for determining the reach and potential influence for a particular scholarly blogger.
In addition, it can be helpful for the blog author, as well, especially if that author doesn’t keep track of the social media analytics for those platforms on which their posts can be shared, and may help to inform future decisions about which platforms seem best suited to their readership. In the Community Activity Score below, we also see a few additional platforms that the previous example did not have connections with: Pinterest and LinkedIn. Again, more social connections means more data that can be potentially useful for authors and researchers:
Author Community Activity Score
In addition to the Community Activity Score available for every blog post indexed in ACI’s collection of scholarly blogs, each author profiled in ACI has an Author Community Activity Score, which displays the percentile calculation of that author’s relative popularity within the ACI product. Like the Community Activity Score for articles, the Author Community Activity Score provides details on ACI views and on specific social sharing platforms.
The score is relative to other ACI authors; for example, a score of 75 means that a given author is in the top 25% of all authors in ACI, while a score of 25 would mean that 75% of ACI authors ranked above that author. Like with the article-level score, a score of zero here indicates that the author has not yet been ranked.
Here’s an example author community activity score:
This particular author also has a Klout score, which offers an additional source of measuring influence and reach, and researchers can click on the Klout score to see more details in a new tab or window. Because the Author Community Activity Score takes into account all posts in ACI by that specific author, the Author Community Activity Score can help to provide in-depth information and insight into the social and sharing influence of that author and his or her overall content, in addition to their other avenues of scholarship and content. In fact, some scholarly authors include the score on their CVs; having a third-party source for metrics on an author’s influence might have a beneficial impact on professional development, career advancement, or research funding goals.