LIS Notes # 03 - Difference Between Bibliometrics, Almetrics and Webometrics

 Bibliometrics, altmetrics, and webometrics are all methods used to measure the impact and influence of academic or scholarly works, but they focus on different aspects and sources of data. Here's a breakdown of each:

1. Bibliometrics

• Definition: Bibliometrics refers to the quantitative analysis of academic publications and citations. It uses statistical methods to assess the impact, productivity, and development of scientific research over time.
• Key Focus:
  • Citation analysis: How often a paper or author is cited by others.
  • Journal impact factor (IF): A measure of the importance of a journal based on citations.
  • H-index: A metric to assess an individual researcher's productivity and citation impact.
• Common Metrics: Citation counts, journal impact factors, h-index, g-index.
• Sources: Academic databases like Scopus, Web of Science, and Google Scholar.

2. Altmetrics

• Definition: Altmetrics (alternative metrics) measure the impact and engagement of academic work in non-traditional outlets, including social media, blogs, news media, policy documents, and other online platforms.
• Key Focus:
  • Social media mentions (Twitter, Facebook, etc.)
  • Shares, downloads, and views of publications on academic platforms like ResearchGate or Academia.edu.
  • Blog posts, mainstream media coverage, or online discussions.
• Common Metrics: Tweets, Facebook shares, news articles, online mentions, downloads.
• Sources: Social media platforms, blogs, news websites, online repositories like Mendeley.

3. Webometrics

• Definition: Webometrics (or cybermetrics) focuses on measuring the web presence and impact of scholarly institutions (universities, research centers), journals, and other academic entities based on their online activities and visibility.
• Key Focus:
  • The online presence of academic institutions, including their websites, repositories, and research publications.
  • Website traffic, link structure, and academic content available on the web.
• Common Metrics: Number of links pointing to a site, website traffic, external visibility, page rank.
• Sources: Institutional websites, online repositories, citation databases, web crawlers.

Key Differences:

• Bibliometrics focuses on traditional, citation-based measures of academic influence.
• Altmetrics captures the broader, non-academic impact and attention on digital platforms.
• Webometrics analyzes the online visibility and impact of academic institutions or their content on the web.

Conclusion: 

• Bibliometrics is based on formal citation data, 
• Altmetrics focuses on social media and online engagement, and 
• Webometrics looks at the digital footprint of institutions or research entities.

LIS Notes # 02 - AI Tools for Literature Review

There are several AI tools available for conducting a literature review, helping with research discovery, summarization, citation management, and analysis. Here are some of the best AI-powered tools:

1. Research Discovery & Paper Search

• Semantic Scholar – Uses AI to find relevant academic papers.
• Elicit – AI-powered search for extracting key insights from research papers.
• Connected Papers – Helps visualize connections between research papers.
• Scite – Shows how papers cite each other (supporting, contrasting, or mentioning).

2. AI Summarization & Reading Assistance

• ChatPDF – Allows interaction with PDFs and summarizes key points.
• Scholarcy – Summarizes long research papers into key insights.
• QuillBot – AI-powered paraphrasing and summarization tool.

3. Citation Management

• Zotero – AI-assisted reference management.
• Mendeley – Organizes and manages research citations.
• EndNote – Helps with citation generation and reference management.

4. Writing & AI Assistance

• Grammarly – AI-powered writing and grammar correction.
• Trinka AI – AI for academic writing and language improvement.
• Jenni AI – Assists in drafting and structuring research papers.

[Koha-bugs] [Bug 34276] upgrading 23.05 to 23.11

Got a problem while upgrading Koha database from 23.05 to 23.11.....

 

While upgrading it shows the above error

Solution: 

1. Login to MySQL with root 

mysql -u root -p

[enter password]

2. Choose the database 

use koha_library;

3. Execute the below SYNTAX

SELECT RefCons.constraint_schema, RefCons.table_name,
RefCons.referenced_table_name, RefCons.constraint_name, KeyCol.column_name
FROM information_schema.referential_constraints RefCons
JOIN information_schema.key_column_usage KeyCol ON RefCons.constraint_schema =
KeyCol.table_schema
     AND RefCons.table_name = KeyCol.table_name
     AND RefCons.constraint_name = KeyCol.constraint_name
WHERE RefCons.constraint_schema = 'koha_nit';

[replace koha_nit with your database name]

4. Locate illrequests_ibfk_1

It may not be available and while dropping the above, it may not allow. 

5. Execute the following syntax to solve the problem

ALTER TABLE illrequests DROP FOREIGN KEY illrequests_ibfk_2; 

ALTER TABLE illrequests DROP KEY illrequests_bibfk;

6. Exit from MySQL database.  

7. Now execute the below syntaxt to upgrade database from root. 

koha-upgrade-schema nit [replace nit with your database name] 

It will upgrade your database!

Enjoy !

Thanks 

DP Tripathi 

LIS Notes# 01 - Difference between COUNTER and SUSHI

COUNTER and SUSHI are related standards in the context of managing and reporting usage statistics for electronic resources, commonly used in libraries, publishers, and institutions. Here's what they mean:

COUNTER (Counting Online Usage of Networked Electronic Resources):

• COUNTER is a standard for measuring the usage of electronic resources like e-journals, e-books, databases, and other digital content.
• It ensures that usage statistics are consistent, credible, and comparable across publishers and platforms.
• COUNTER reports provide key metrics, such as:
  • Total item requests (e.g., downloads or views of articles or chapters).
  • Searches within a platform or specific resource.
  • Access denials due to lack of subscription or permissions.
• The latest version of the standard is COUNTER Release 5, which simplifies and unifies reporting formats compared to earlier releases.

SUSHI (Standardized Usage Statistics Harvesting Initiative):

• SUSHI is a protocol designed to automate the retrieval of COUNTER usage reports.
• It uses a machine-to-machine API, making it easier for libraries and institutions to collect usage data from multiple vendors without manual downloading.
• SUSHI works by enabling systems (like library management software) to directly connect with publishers' platforms and retrieve COUNTER-compliant usage reports.
• This automation saves time and ensures timely and accurate data collection.

How They Work Together:

• COUNTER provides the framework for what data to collect and how to present it.
• SUSHI provides the mechanism for libraries to retrieve COUNTER reports efficiently.

These standards help libraries justify the cost of subscriptions, analyze resource usage, and make data-driven decisions about their collections.

Auto Backup in Koha - Configuration

 

International Workshop on Koha during August 28-30, 2024