Kudos dataset

Version 1.3
Erdt, Helen Mojisola; Aung, Htet Htet; Aw, Ashley Sara; Rapple, Charlie; Theng, Yin-Leng, 2017, "Kudos dataset", https://doi.org/10.21979/N9/94B0LT, DR-NTU (Data), V1
Learn about Data Citation Standards.
Dataset Metrics
249 Views
0 Downloads
0 Citations
Description

About Kudos dataset

The Kudos dataset (extracted from Kudos in February 2016) is analysed in the research article with the title "Analysing researchers' outreach efforts and the association with publication metrics: A case study of Kudos". This research paper is a result of a joint research collaboration between Kudos and CHESS, Nanyang Technological University, Singapore. Kudos made funds available to CHESS to perform the study and also provided the dataset used for the analysis.

In recent years, social media and scholarly collaboration networks have become increasingly accepted as effective tools for discovering and sharing research. Altmetrics are also becoming more common, as they reflect impact fast, are openly accessible and represent both academic and lay audiences, unlike traditional metrics such as citation counts. As a researcher, it still remains challenging to know whether the efforts to increase the visibility and outreach of your research on social media are associated with improved publication metrics.

In this paper, we analyse the effectiveness of common online channels used for sharing publications using kudos launched in May 2014, a web-based service that aims to help researchers increase the outreach of their publications, as a case study. We extracted a dataset from Kudos of 20,775 unique publications that had been claimed by authors, and for which actions had been taken to explain or share via Kudos. For 4,867 of these, full text download data from publishers was available. Our findings show that researchers are most likely to share their work on Facebook, but links shared on Twitter are most likely to be clicked on. A Mann-Whitney U test revealed that a treatment group (publications having actions in Kudos) had a significantly higher median average of 149 full text downloads (23.1% more) per publication as compared to a control group (having no actions in Kudos) with a median average of 121 full text downloads per publication. These findings suggest that performing actions on publications, such as sharing, explaining, or enriching, could help to increase the number of full text downloads of a publication.

Download data

A readme text file is provided describing the data fields of the four datasets.

The DOIs of the publications in the dataset have been anonymised to protect the privacy of the users in Kudos.

All fields in the CSV file should be imported (e.g., into Excel) as text values.

The dataset can be downloaded at figshare.

Subject Computer and Information Science
Keyword Altmetrics, Full-text downloads, Scholarly communications
Related Publication Erdt M, Aung HH, Aw AS, Rapple C, Theng YL (2017) Analysing researchers’ outreach efforts and the association with publication metrics: A case study of Kudos. PLOS ONE 12(8): e0183217. doi: 10.1371/journal.pone.0183217
Grant Information
National Research Foundation (NRF): Prime Minister’s Office, Singapore under its Science of Research, Innovation and Enterprise programme SRIE Award No. NRF2014-NRF-SRIE001-019
License/Data Use Agreement

CC BY 4.0

There are no files in this dataset.
Edit File

This file has already been deleted (or replaced) in the current version. It may not be edited.

Restrict Access

Restricting limits access to published files. People who want to use the restricted files can request access by default. If you disable request access, you must add information about access to the Terms of Access field.

Learn about restricting files and dataset access in the User Guide.

Enable access request
You must enable request access or add terms of access to restrict file access.
Save Changes
Edit Embargo

The selected file or files have already been published. Contact an administrator to change the embargo date or reason of the file or files.
Delete Files

The file will be deleted after you click on the Delete button.

Files will not be removed from previously published versions of the dataset.

Select File(s)

Please select one or more files.

Share Dataset

Share this dataset on your favorite social media networks.

Dataset Citations

Citations for this dataset are retrieved from Crossref via DataCite using Make Data Count standards. For more information about dataset metrics, please refer to the User Guide.

Sorry, no citations were found.
Restricted Files Selected

The selected file(s) may not be downloaded because you have not been granted access.

Download Options

The files selected are too large to download as a ZIP.

You can select individual files that are below the 953.7 MB download limit from the files table, or use the Data Access API for programmatic access to the files.

Select File(s)

Please select a file or files to be downloaded.

Restricted Files Selected

The restricted file(s) selected may not be downloaded because you have not been granted access.

Click Continue to download the files you have access to download.

Delete Dataset

Are you sure you want to delete this dataset and all of its files? You cannot undelete this dataset.

Delete Draft Version

Are you sure you want to delete this draft version? Files will be reverted to the most recently published version. You cannot undelete this draft.

Unpublished Dataset Private URL

Private URL can only be used with unpublished versions of datasets.

Unpublished Dataset Private URL

Are you sure you want to disable the Private URL? If you have shared the Private URL with others they will no longer be able to use it to access your unpublished dataset.

Delete Files

The file(s) will be deleted after you click on the Delete button.

Files will not be removed from previously published versions of the dataset.

Compute

This dataset contains restricted files you may not compute on because you have not been granted access.

Deaccession Dataset

Are you sure you want to deaccession? The selected version(s) will no longer be viewable by the public.

Deaccession Dataset

Are you sure you want to deaccession this dataset? It will no longer be viewable by the public.

Version Differences Details

Please select two versions to view the differences.

Version Differences Details
 
Version:
Last Updated:
Version:
Last Updated:
Select File(s)

Please select a file or files for access request.

Select File(s)

Embargoed files cannot be accessed. Please select an unembargoed file or files for your access request.

Edit Tags

Select existing file tags or create new tags to describe your files. Each file can have more than one tag.

Request Access

  You need to Log In to request access.

Dataset Terms

This dataset is made available under the following terms. Please confirm and/or complete the information needed below in order to continue.

Our Community Norms as well as good scientific practices expect that proper credit is given via citation. Please use the data citation shown on the dataset page.

CC BY 4.0

Preview Guestbook

Upon downloading files the guestbook asks for the following information.

Account Information

Package File Download

Use the Download URL in a Wget command or a download manager to download this package file. Download via web browser is not recommended. User Guide - Downloading a Dataverse Package via URL

https://researchdata.ntu.edu.sg/api/access/datafile/

Request Access

Please confirm and/or complete the information needed below in order to request access to files in this dataset.

Compute Batch
Clear Batch
Dataset Dataset Persistent ID Change Compute Batch
Compute Batch
Submit for Review

You will not be able to make changes to this dataset while it is in review.

Publish Dataset

Are you sure you want to republish this dataset?

Publishing dataset means making it publicly available and publicly searchable on the DR-NTU (Data) search engine and third-party search engines (e.g., Google Search or Google Dataset Search).

If you need a second opinion/review, or if you have some concerns, refrain from publishing, and contact NTU Data Librarians (library@ntu.edu.sg).

Please read the following carefully BEFORE you publish your research data:

By posting User Uploads to your dataverse or other dataverses in DR-NTU (Data), or by allowing others to do so, you make the following representations and warranties to DR-NTU (Data):

1. User Uploads do not infringe upon the copyrights or other intellectual property rights, including, but not limited to patent, trademark, trade secret, copyright, right of publicity or other right of any third party;

2. User Uploads do not violate any laws;

3. In the event you become aware of any issues after submitting a User Upload, you will promptly notify DR-NTU (Data) and the relevant DR-NTU (Data) Administrator(s) of any confidentiality, privacy or data protection, licensing, or intellectual property issues regarding the User Uploads;

4. User Uploads do not contain software viruses or any other computer codes, files, or programs that are designed or intended to disrupt, damage, limit or interfere with the proper function of any software, hardware, or telecommunications equipment or to damage or obtain unauthorized access to any system, data files, or other information of DR-NTU (Data) or any third party;

5. User Uploads have been given all relevant, obligatory, and applicable approvals for posting such materials with the content included and in the format uploaded, including but not limited to approvals from the Institutional Review Board and third parties with whom Users have relevant contractual obligations; and

6. User Uploads must be void of all identifiable information, such that re-identification of any subjects from the amalgamation of the information available from all of the materials (across datasets and dataverses) uploaded under any one author and/or User should not be possible. Specifically, User Uploads cannot contain social security numbers; credit card numbers; medical record numbers; health plan numbers; other account numbers of individuals; or biometric identifiers (fingerprints, retina, voice, print, DNA, etc.). The only exceptions for when identifiable information is allowed are when:

a. the information has been previously released to the public;
b. the information describes public figures, where the data relates to their public roles or other non-sensitive subjects; or
c. all identified subjects have given explicit informed consent allowing the public release of the information in the dataset.

Select if this is a minor or major version update.

Publish Dataset

This dataset cannot be published until Altmetrics Project is published by its administrator.

Publish Dataset

This dataset cannot be published until Altmetrics Project and Centre for Healthy and Sustainable Cities (CHESS) are published.

Return to Author

Return this dataset to contributor for modification.