Advanced web technologies 1

enabled us to analyze vast pool of online available literature data to assess the impact and quality of scientific authors and individual article. Perhaps, it could be the best judgment to understand, analyze and estimate the impact of individual article published in a journal. Recently increased attention in this aspect received appreciation from the scientific fraternity.

Future scientific impact assessment may not consider the already available traditional measures such as impact factor, citations or h-factor; it will definitely consider the individual article impact to fulfill the objective.

Articles metrics (or) Articles impact factor

could prove to be a better measure rather than existing journal impact factor, as these metrics measure individual article than combined journal.

Articles metrics use diverse sources in estimating impact of an article. It is calculated based on “Open data available online”. Article metrics use number of views and downloads an article receives, and how often that article is cited online in peer-reviewed journals and other policy documents as per Google Scholar, comments on a particular article, social media sharing, and blogging. Thus, offering a specific way to measure the impact of an article in a cumulative manner. Article metrics shows transparency while calculating the article impact as it uses open source data. While some of the traditional metrics considers data which is mostly subscription based and shows lack of transparency.

Digital media

is rapidly altering the traditional system of scientific publishing through enriched presentation and by introducing various effective and relevant novel measurement techniques.

The present inclination of the scientific impact measurement is towards the article impact factor or Article metrics. This novel measure can be calculated considering the popularity an article receives through digital media and associated channels. Article social impact score can be computed dynamically with rapid regular updates, therefore, allowing the users to gain knowledge about the media distribution behavior and relevant impact. This metric is going to bring instant public and community response for a published article, thus, making a publication truly social.

Importance of Articles Metrics

Share your Impact

Articles metrics represents an overall sharing and reader base for a particular article which can be viewed through simple graphics. Therefore, authors can easily communicate their impact to the fellow colleagues.

Career Advancement

Availability of article information with simplified representation and considering overall social media reach will help in assessing individual article impact. Therefore, authors can summarize their contribution and share with the concerned authority in a scientific way for their respective career advancement.

Collaboration

This metric will help in developing relation through online sharing of the article impact. Authors can specify their cumulative social and research impact to their existing and future collaborators. Potential researchers can be easily engaged by the collaborators in a specific research domain.

Funding

Assessment for grants can be done using Article metrics statistics in a genuine way. On the other hand, researchers can exhibit the impact of their research to the funding agencies.

Tracking the most Influential Contribution

In the era when vast literature is accessible, identifying the most influential and trend setting valuable ideas or research outcomes is possible using Article metrics.

Components of Articles Metrics

Article metrics consider both social and scientific impact gained by any published article. The sharing information retrieved from various social media channels as provided in the following table.

Articles metrics Type	Description	Examples
Shares	Posted publically in order to share news of published article	Facebook, Twitter, Reddit, News articles, Blog posts, Google Plus, YouTube, Mendeley, ResearchGate
Articles, Books & Book Chapters can be shared by publishing into open access journals or in university presses, institutional library, repositories etc.
GitHub is a software that interfaces with Figshare and Zenodo to archive issue DOIs for software. Other software are Bitbucket and Sourcefog
Slides, Posters can be shared by Slideshare, Figshare or Zenodo
Figures and Videos can be share by YouTube, Vimeo, Instagram, Pinterest
Saves	Saved on Social Bookmarking sites, social media and social coding websites	Mendeley, CiteULike, Delicious, Twitter, Slideshare
Reviews	Discussed with additional commentary added	Blog posts, Article comments, Facebook comments, Discussion forum
Adaptations	Creation of derivative works using an article	Github
Social Statistics	Downloads or views on web services and social media sites	FigShare, Slideshare, Facebook, YouTube

Calculation of Articles Metrics Score

Calculation of the Articles Metrics score is based on several criteria as described below. This calculation is done using web metrics approach considering the following key components:

Future scientific impact assessment may not consider the already available traditional measures such as impact factor, citations or h-factor; it will definitely consider the individual article impact to fulfill the objective.

The popularity of the usage (views/downloads)
Captures- Attention received by a particular article through exports and number of visitors
Mentions- Discussion about the article and sharing in relevant science oriented repositories
Social Media- Attention received from general social media sharing
Citations- Received scientific references as per Google Scholar
Funding/Acknowledgment for an article published

Publishers adopted Articles Metrics

Articles metrics became popular and widely adopted by the reputed leading publishers such as OMICS International, PLOS, Wiley, Springer, BMC, Nature, Taylor & Francis, etc.