Archives des mots-clés : Altmetrics

Altmetrics: The Emerging Alternative Metrics for Web Research Analysis

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Authors : Ashok Kumar, J Shivarama, Mallikarjun Angadi, Puttaraj A Choukimath

The use of web 2.0 is becoming the essential part of present day life. People are spending time for many purposes and academic activities among these uses of web 2.0 social media services by users are prominent for searching, sharing, discussing, and messaging of scholarly content.

The wider use of social media has given birth to various buzz words and ‘altmetrics’ is one of them. In simple words, altmetrics provides online measurement of scholars or scholarly content derived from the web 2.0 social media platforms.

Altmetrics is diversified in nature and categorised in five categories i.e. (i) recommended (ii) cited (iii) saved (iv) discussed and (v) viewed. Altmetrics are becoming widely used by publishers (for showcasing research impact of authors over readers), librarians and repository managers (for adding value to their libraries and institutional repositories) and by the researchers (for complementing reading by instantly visualising papers online attention).

URL : http://ir.inflibnet.ac.in/handle/1944/2033

Article-Level Metrics (ALMs) of “Nature” Journal

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Author : Chintha Nagabhushanam

The main aim of scientific research is to systematically generate valid data which is measurable, reproducible, and testable, contributing to the existing knowledge about the subject.

This paper explains the Altmetrics of Nature Journal that is a summation of the impact of all articles in a journal based on citations. Article-level metrics measured the impact of individual articles, including usage (e.g., pageviews, downloads), citations, and social metrics like Twitter, Facebook and blogs, of non-duplicate online mentions.

Paper discuss article-level metrics from http://www.nature.com web site and analyses the data accordingly.

URL : Article-Level Metrics (ALMs) of “Nature” Journal

Alternative location : http://irjlis.com/article-level-metrics-alms-of-nature-journal/

Revisiting an open access monograph experiment: measuring citations and tweets 5 years later

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Author : Ronald Snijder

An experiment run in 2009 could not assess whether making monographs available in open access enhanced scholarly impact. This paper revisits the experiment, drawing on additional citation data and tweets. It attempts to answer the following research question: does open access have a positive influence on the number of citations and tweets a monograph receives, taking into account the influence of scholarly field and language?

The correlation between monograph citations and tweets is also investigated. The number of citations and tweets measured in 2014 reveal a slight open access advantage, but the influence of language or subject should also be taken into account. However, Twitter usage and citation behaviour hardly overlap.

URL : Revisiting an open access monograph experiment

Alternative location : https://rd.springer.com/article/10.1007/s11192-016-2160-6

To what extent does the Leiden Manifesto also apply to altmetrics? A discussion of the manifesto against the background of research into altmetrics

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Authors : Lutz Bornmann, Robin Haunschild

Purpose

Hicks, Wouters, Waltman, de Rijcke, and Rafols (2015) have formulated the so-called Leiden manifesto, in which they have assembled the ten principles for a meaningful evaluation of research on the basis of bibliometric data.

Approach

In this work the attempt is made to indicate the relevance of the Leiden manifesto for altmetrics.

Results

As shown by the discussion of the ten principles against the background of the knowledge about and the research into altmetrics, the principles also have a great importance for altmetrics and should be taken into account in their application.

Originality

Altmetrics is already frequently used in the area of research evaluation. Thus, it is important that the user of altmetrics data knows the relevance of the Leiden manifesto also in this area.

URL : https://figshare.com/articles/To_what_extent_does_the_Leiden_Manifesto_also_apply_to_altmetrics_A_discussion_of_the_manifesto_against_the_background_of_research_into_altmetrics/1464981

 

Tracking the Digital Footprints to Scholarly Articles from Social Media

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Authors : Xianwen Wang, Zhichao Fang, Xinhui Guo

Scholarly articles are discussed and shared on social media, which generates altmetrics. On the opposite side, what is the impact of social media on the dissemination of scholarly articles and how to measure it? What are the visiting patterns?

Investigating these issues, the purpose of this study is to seek a solution to fill the research gap, specifically, to explore the dynamic visiting patterns directed by social media, and examine the effects of social buzz on the article visits.

Using the unique real referral data of 110 scholarly articles, which are daily updated in a 90-day period, this paper proposes a novel method to make analysis. We find that visits from social media are fast to accumulate but decay rapidly.

Twitter and Facebook are the two most important social referrals that directing people to scholarly articles, the two are about the same and account for over 95% of the total social referral directed visits.

There is synchronism between tweets and tweets resulted visits. Social media and open access are playing important roles in disseminating scholarly articles and promoting public understanding science, which are confirmed quantitatively for the first time with real data in this study.

URL : http://arxiv.org/abs/1608.00798

Can we use altmetrics at the institutional level? A case study analysing the coverage by research areas of four Spanish universities

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Authors : Daniel Torres-Salinas, Nicolas Robinson-Garcia, Evaristo Jiménez-Contreras

Social media based indicators or altmetrics have been under scrutiny for the last seven years. Their promise as alternative metrics for measuring scholarly impact is still far from becoming a reality.

Up to now, most studies have focused on the understanding of the nature and relation of altmetric indicators with citation data. Few papers have analysed research profiles based on altmetric data.

Most of these have related to researcher profiles and the expansion of these tools among researchers. This paper aims at exploring the coverage of the Altmetric.com database and its potential use in order to show universities’ research profiles in relationship with other databases.

We analyse a sample of four different Spanish universities.First, we observe a low coverage of altmetric indicators with only 36 percent of all documents retrieved from the Web of Science having an ‘altmetric’ score.Second, we observe that for the four universities analysed, the area of Science shows higher ‘altmetric’ scores that the rest of the research areas.

Finally, considering the low coverage of altmetric data at the institutional level, it could be interesting for research policy makers to consider the development of guidelines and best practices guides to ensure that researchers disseminate adequately their research findings through social media.

URL : Can we use altmetrics at the institutional level? A case study analysing the coverage by research areas of four Spanish universities

Alternative location : https://arxiv.org/abs/1606.00232

Measuring Book Impact Based on the Multi-granularity Online Review Mining

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As with articles and journals, the customary methods for measuring books’ academic impact mainly involve citations, which is easy but limited to interrogating traditional citation databases and scholarly book reviews, Researchers have attempted to use other metrics, such as Google Books, libcitation, and publisher prestige.

However, these approaches lack content-level information and cannot determine the citation intentions of users. Meanwhile, the abundant online review resources concerning academic books can be used to mine deeper information and content utilizing altmetric perspectives.

In this study, we measure the impacts of academic books by multi-granularity mining online reviews, and we identify factors that affect a book’s impact. First, online reviews of a sample of academic books on Amazon.cn are crawled and processed.

Then, multi-granularity review mining is conducted to identify review sentiment polarities and aspects’ sentiment values. Lastly, the numbers of positive reviews and negative reviews, aspect sentiment values, star values, and information regarding helpfulness are integrated via the entropy method, and lead to the calculation of the final book impact scores.

The results of a correlation analysis of book impact scores obtained via our method versus traditional book citations show that, although there are substantial differences between subject areas, online book reviews tend to reflect the academic impact.

Thus, we infer that online reviews represent a promising source for mining book impact within the altmetric perspective and at the multi-granularity content level. Moreover, our proposed method might also be a means by which to measure other books besides academic publications.

URL : http://arxiv.org/abs/1603.08091