The dataset contains bibliographic information about scientific articles published by researchers from Norwegian research organizations and is an enhanced subset of data from the Cristin database. Cristin (current research information system in Norway) is a database with bibliographic records of all research articles with an Norwegian affiliation with a publicly funded research institution in Norway. The subset is limited to metadata about journal articles reported in the period 2013-2021 (186,621 records), and further limited to information of relevance for the study (see below). Article metadata are enhanced with open access status by several sources, particularly unpaywall, DOAJ and hybrid-information in case an article is part of a publish-and-read-deal.

The SCImago Institutions Rankings (SIR) is a classification of academic and research-related institutions ranked by a composite indicator that combines three different sets of indicators based on research performance, innovation outputs and societal impact measured by their web visibility. It provides a friendly interface that allows the visualization of any customized ranking from the combination of these three sets of indicators. Additionally, it is possible to compare the trends for individual indicators of up to six institutions. For each large sector it is also possible to obtain distribution charts of the different indicators. For comparative purposes, the value of the composite indicator has been set on a scale of 0 to 100. However the line graphs and bar graphs always represent ranks (lower is better, so the highest values are the worst).

BackgroundAs statisticians develop new methodological approaches, there are many factors that influence whether others will utilize their work. This paper is a bibliometric study that identifies and quantifies associations between characteristics of new biostatistics methods and their citation counts. Of primary interest was the association between numbers of citations and whether software code was available to the reader.MethodsStatistics journal articles published in 2010 from 35 statistical journals were reviewed by two biostatisticians. Generalized linear mixed models were used to determine which characteristics (author, article, and journal) were independently associated with citation counts (as of April 1, 2017) in other peer-reviewed articles.ResultsOf 722 articles reviewed, 428 were classified as new biostatistics methods. In a multivariable model, for articles that were not freely accessible on the journal’s website, having code available appeared to offer no boost to the number of citations (adjusted rate ratio = 0.96, 95% CI = 0.74 to 1.24, p = 0.74); however, for articles that were freely accessible on the journal’s website, having code available was associated with a 2-fold increase in the number of citations (adjusted rate ratio = 2.01, 95% CI = 1.30 to 3.10, p = 0.002). Higher citation rates were also associated with higher numbers of references, longer articles, SCImago Journal Rank indicator (SJR), and total numbers of publications among authors, with the strongest impact on citation rates coming from SJR (rate ratio = 1.21 for a 1-unit increase in SJR; 95% CI = 1.11 to 1.32).ConclusionThese analyses shed new insight into factors associated with citation rates of articles on new biostatistical methods. Making computer code available to readers is a goal worth striving for that may enhance biostatistics knowledge translation.

Abstract A system called QUALIS was implemented in Brazil in 2009, intended to rank graduate programs from different subject areas and promote selected national journals. Since this system uses a complicated suit of criteria (differing among subject areas) to group journals into discrete categories, it could potentially create incentives to publish in low-impact journals ranked highly by QUALIS. Here I assess the influence of the QUALIS journal ranking system on the global impact of Brazilian science. Brazil shows a steeper decrease in the number of citations per document since the implementation of this QUALIS system, compared to the top Latin American countries publishing more scientific articles. All subject areas showed some degree of bias, with social sciences being usually more biased than natural sciences. Lastly, the decrease in the number of citations over time proved steeper in a more biased subject area, suggesting a faster shift towards low-impact journals. Overall, the findings documented here suggest that the QUALIS system has undermined the global impact of Brazilian science, and reinforce a recent recommendation from an official committee evaluating graduate programs to eliminate QUALIS. A system based on impact metrics could avoid introducing distorted incentives, and thereby boost the global impact of Brazilian science.

Top 1000 scholars world-wide according to their publications in journals related to business and management.

Version: 5

Authors: Carlota Balsa-Sánchez, Vanesa Loureiro

Date of data collection: 2023/09/05

General description: The publication of datasets according to the FAIR principles, could be reached publishing a data paper (or software paper) in data journals or in academic standard journals. The excel and CSV file contains a list of academic journals that publish data papers and software papers.
File list:

- data_articles_journal_list_v5.xlsx: full list of 140 academic journals in which data papers or/and software papers could be published
- data_articles_journal_list_v5.csv: full list of 140 academic journals in which data papers or/and software papers could be published

Relationship between files: both files have the same information. Two different formats are offered to improve reuse

Type of version of the dataset: final processed version

Versions of the files: 5th version
- Information updated: number of journals, URL, document types associated to a specific journal.

Version: 4

Authors: Carlota Balsa-Sánchez, Vanesa Loureiro

Date of data collection: 2022/12/15

General description: The publication of datasets according to the FAIR principles, could be reached publishing a data paper (or software paper) in data journals or in academic standard journals. The excel and CSV file contains a list of academic journals that publish data papers and software papers.
File list:

- data_articles_journal_list_v4.xlsx: full list of 140 academic journals in which data papers or/and software papers could be published
- data_articles_journal_list_v4.csv: full list of 140 academic journals in which data papers or/and software papers could be published

Relationship between files: both files have the same information. Two different formats are offered to improve reuse

Type of version of the dataset: final processed version

Versions of the files: 4th version
- Information updated: number of journals, URL, document types associated to a specific journal, publishers normalization and simplification of document types
- Information added : listed in the Directory of Open Access Journals (DOAJ), indexed in Web of Science (WOS) and quartile in Journal Citation Reports (JCR) and/or Scimago Journal and Country Rank (SJR), Scopus and Web of Science (WOS), Journal Master List.

Version: 3

Authors: Carlota Balsa-Sánchez, Vanesa Loureiro

Date of data collection: 2022/10/28

General description: The publication of datasets according to the FAIR principles, could be reached publishing a data paper (or software paper) in data journals or in academic standard journals. The excel and CSV file contains a list of academic journals that publish data papers and software papers.
File list:

- data_articles_journal_list_v3.xlsx: full list of 124 academic journals in which data papers or/and software papers could be published
- data_articles_journal_list_3.csv: full list of 124 academic journals in which data papers or/and software papers could be published

Relationship between files: both files have the same information. Two different formats are offered to improve reuse

Type of version of the dataset: final processed version

Versions of the files: 3rd version
- Information updated: number of journals, URL, document types associated to a specific journal, publishers normalization and simplification of document types
- Information added : listed in the Directory of Open Access Journals (DOAJ), indexed in Web of Science (WOS) and quartile in Journal Citation Reports (JCR) and/or Scimago Journal and Country Rank (SJR).

Erratum - Data articles in journals Version 3:

Botanical Studies -- ISSN 1999-3110 -- JCR (JIF) Q2
Data -- ISSN 2306-5729 -- JCR (JIF) n/a
Data in Brief -- ISSN 2352-3409 -- JCR (JIF) n/a

Version: 2

Author: Francisco Rubio, Universitat Politècnia de València.

Date of data collection: 2020/06/23

General description: The publication of datasets according to the FAIR principles, could be reached publishing a data paper (or software paper) in data journals or in academic standard journals. The excel and CSV file contains a list of academic journals that publish data papers and software papers.
File list:

- data_articles_journal_list_v2.xlsx: full list of 56 academic journals in which data papers or/and software papers could be published
- data_articles_journal_list_v2.csv: full list of 56 academic journals in which data papers or/and software papers could be published

Relationship between files: both files have the same information. Two different formats are offered to improve reuse

Type of version of the dataset: final processed version

Versions of the files: 2nd version
- Information updated: number of journals, URL, document types associated to a specific journal, publishers normalization and simplification of document types
- Information added : listed in the Directory of Open Access Journals (DOAJ), indexed in Web of Science (WOS) and quartile in Scimago Journal and Country Rank (SJR)

Total size: 32 KB

Version 1: Description

This dataset contains a list of journals that publish data articles, code, software articles and database articles.

The search strategy in DOAJ and Ulrichsweb was the search for the word data in the title of the journals.
Acknowledgements:
Xaquín Lores Torres for his invaluable help in preparing this dataset.

By encouraging and requiring that authors share their data in order to publish articles, scholarly journals have become an important actor in the movement to improve the openness of data and the reproducibility of research. But how many social science journals encourage or mandate that authors share the data supporting their research findings? How does the share of journal data policies vary by discipline? What influences these journals’ decisions to adopt such policies and instructions? And what do those policies and instructions look like? We discuss the results of our analysis of the instructions and policies of 291 highly-ranked journals publishing social science research, where we studied the contents of journal data policies and instructions across 14 variables, such as when and how authors are asked to share their data, and what role journal ranking and age play in the existence and quality of data policies and instructions. We also attempt to compare our results to the results of other studies that have analyzed the policies of social science journals, although differences in the journals chosen and how each study defines what constitutes a data policy limit this comparison. We conclude that a little more than half of the journals in our study have data policies. A greater share of the economics journals have data policies and mandate sharing, followed by political science/international relations and psychology journals. Finally, we use our findings to make several recommendations: Policies should include the terms “data”, “dataset” or more specific terms that make it clear what to make available; policies should include the benefits of data sharing; journals, publishers, and associations need to collaborate more to clarify data policies; and policies should explicitly ask for qualitative data.

Journal recommendations prepared on results from JANE and whichjournal.com based on 4 abstracts from the disciplines dentistry, psychology and aerosol chemistry.

The factsheets with data for each journal should help to decide for the best journal.

The data is provided as spreadsheet (xls) and factsheet (pdf).

We consider the 13 journals that are primarily classified in the field of experimental psychology according to the ISI. We rank journals according to: (i) the maximization of the multi-class AUC statistic for the steady-state distributions and (ii) the JIF; q̅ and σ are the model parameters obtained using ; n̅ and Q2 are the mean and median number of citations in the steady state. We also show the steady-state period.

Vkontakte enjoyed the highest place in the ranking of social networks in Russia, at 378 million monthly publications as of October 2024. Odnoklassniki followed with roughly over 150 million publications per month. VKontakte: the Facebook of Russia VKontakte, also referred to as VK, primarily services the Russian market with a social network that borrows very heavily from Facebook in terms of design and function. VK has undergone significant growth over the past five years, with its user base rising from 43.9 million users in March 2016 to 84.7 million users in December 2023. In that year, the number of downloads of the social media platform in question exceeded 14.6 million in Russia alone. VK’s presence is much smaller outside of Russia, however, with more than 2.4 million downloads in Kazakhstan over the same period.   Social media usage in Russia Although Russians tend to display a preference for nationally developed services such as VK and Odnoklassniki, Western social networks also have a significant users' base. Namely, nearly 4.7 million Russians are using Twitter, while the number of Instagram users in the country stood at nearly 64 million users in January 2024. Approximately 71 million Russians were also using Facebook as of January 2024.

This data set contains the data used to create the Open Edition of the CWTS Leiden Ranking 2023. The data set includes (1) data about the universities included in the Leiden Ranking Open Edition 2023 and the links between these universities and their affiliated organizations, (2) data about the publications included in the Leiden Ranking Open Edition 2023 and the links between these publications and universities and main fields, (3) indicators at the level of publications, and (4) indicators at the level of universities and main fields.

The Leiden Ranking Open Edition 2023 is based on the OpenAlex snapshot released on November 21, 2023. The snapshot data is not included in this data set.

The source code for creating this data set is available in this GitHub repository.

See this blog post for more information about the Leiden Ranking Open Edition 2023.

This data set consists of the following tab-delimited files.

university

• university_id
• university
• university_full_name
• ror_id
• ror_name
• country_code
• latitude
• longitude
• is_mtor_university

affiliated_organization

• ror_id
• ror_name

university_affiliated_organization

• university_ror_id
• relation_type
• affiliated_organization_ror_id
• affiliated_organization_weight

main_field

• main_field_id
• main_field

pub

• work_id
• doi
• pub_year
• micro_cluster_id

pub_university

• work_id
• university_id
• weight

pub_main_field

• work_id
• main_field_id
• weight

period

• period_begin_year
• period_end_year
• period

pub_period_impact_indicators

• work_id
• period_begin_year
• cs
• ncs
• p_top_1
• p_top_5
• p_top_10
• p_top_50

pub_collab_indicators

• work_id
• p_collab
• p_int_collab
• p_industry
• p_short_dist_collab
• p_long_dist_collab

pub_oa_indicators

• work_id
• p_oa_unknown
• p_oa
• p_gold_oa
• p_hybrid_oa
• p_bonze_oa
• p_green_oa

university_main_field_period_impact_indicators

• university_id
• main_field_id
• period_begin_year
• fractional_counting
• p
• tcs
• tncs
• p_top_1
• p_top_5
• p_top_10
• p_top_50
• mcs
• mcs_lb
• mcs_ub
• mncs
• mncs_lb
• mncs_ub
• pp_top_1
• pp_top_1_lb
• pp_top_1_ub
• pp_top_5
• pp_top_5_lb
• pp_top_5_ub
• pp_top_10
• pp_top_10_lb
• pp_top_10_ub
• pp_top_50
• pp_top_50_lb
• pp_top_50_ub

university_main_field_period_collab_indicators

• university_id
• main_field_id
• period_begin_year
• p
• p_collab
• p_int_collab
• p_industry_collab
• p_short_dist_collab
• p_long_dist_collab
• pp_collab
• pp_collab_lb
• pp_collab_ub
• pp_int_collab
• pp_int_collab_lb
• pp_int_collab_ub
• pp_industry_collab
• pp_industry_collab_lb
• pp_industry_collab_ub
• pp_short_dist_collab
• pp_short_dist_collab_lb
• pp_short_dist_collab_ub
• pp_long_dist_collab
• pp_long_dist_collab_lb
• pp_long_dist_collab_ub

university_main_field_period_oa_indicators

• university_id
• main_field_id
• period_begin_year
• p
• p_oa_unknown
• p_oa
• p_gold_oa
• p_hybrid_oa
• p_bronze_oa
• p_green_oa
• pp_oa_unknown
• pp_oa_unknown_lb
• pp_oa_unknown_ub
• pp_oa
• pp_oa_lb
• pp_oa_ub
• pp_gold_oa
• pp_gold_oa_lb
• pp_gold_oa_ub
• pp_hybrid_oa
• pp_hybrid_oa_lb
• pp_hybrid_oa_ub
• pp_bronze_oa
• pp_bronze_oa_lb
• pp_bronze_oa_ub
• pp_green_oa
• pp_green_oa_lb
• pp_green_oa_ub

A study was conducted for the Canadian Space Agency by the Science and Technology Observatory (STO). This study presents notwithstanding statistical data on Canadian scientific publications in the OECD, as well as data on Canadian publications by scientific subdomains. In particular, it established Canada's ranking relative to OECD countries in terms of citation score for Canadian space-related publications. The period studied was from 2010 to 2016 and the bibliometric data sources, compiled on an annual basis, come from Web of Science. The data made available concern: - Publications on space by OECD countries - Health and life sciences in space publications - Astronomy publications - Planetary exploration publications - Atmospheric science publications - Earth Surface Sciences publications - Solar-terrestrial sciences publications - Development and engineering of space technologies publications

Classification of United Nations Standard Country or Area Codes for Statistical Use originally published as Series M, No. 49 and now commonly known as Standard M49. The list of countries or areas contains the names of countries or areas in alphabetical order, their three-digit numerical codes used for statistical processing by the Statistics Division of the United Nations Secretariat and their three-digit alphabetical codes assigned by the International Organization for Standardization (ISO)1. In general, this list of countries or areas includes countries or areas for which statistical data are collected by the Statistics Division of the United Nations Secretariat.

In this study, we seek to contribute to discussions on how the quality of academic production in the field of political science should be evaluated using Brazil as a case study. We contrast the 'expert-driven approach' that is followed by CAPES, an agency of the Brazilian federal government with the 'citational' approach, which is based on the ranking of journals by mainstream indices of scientific research impact. With data provided by CAPES from 2010 to 2014, we examine to what extent journals that are ranked as having high quality by CAPES also have high impact indexes in the SCImago Journal rank index (SJR), the Hirsch index (h-index) calculated by SCImago, the h5-index and h5-median (based on the h-index period 05 years, calculated by Google Scholar Metrics), and the SNIP indicator (calculated by the CWTS Journal Indicators, included in the Scopus database). Our findings show that there is a positive, but weak correlation between citational criteria and the Qualis evaluation of the same journals. In ordered logistic regressions, we show that a journal's past Qualis scores are the most important factor for explaining its grades in the next evaluation. We show that once a journal's past Qualis score is considered, a journal's citational ranking does not influence its Qualis score with the exception of the SJR in the 2013-4 evaluation. Moreover, a journal's Qualis score is not influenced by the country of publication, language, or social science focus, all else equal.

Introduction: These datasets contain information about journals in the eight regions of the world based on United Nations SDG classification (Central& Southern Asia, Europe, Eastern &South Eastern Asia, Latin America, North Africa& Western Asia, Oceania, North America and Sub-Saharan Africa) that are indexed in Web of Science/Scopus and are available in Ulrich periodical directory. The datasets were created by matching Ulrich journal information with journal information from Web of Science and Scopus.

Data Creation: A single Web of Science master journal list was created for SSCI, SCI, AHCI and ESCI by combining and removing duplicate records from their lists; the Web of Science master journal contained 21,908 unique journals. Only active scholarly journals from Scopus were included in this study; i.e. duplicates, all inactive sources, trade journals, book series, monographs and conference proceedings were removed. 26,029 active journals of the 43,013 sources in Scopus were included. Journal lists from 239 countries were collected from Ulrich comprehensive periodical directory and analyzed by region. After removal of duplicates, this generated a database of 83,429 unique active academic journals. To compile regional and global datasets, duplicate journals in the regional and global levels, respectively, were removed. The master journal lists created from Web of Science, Scopus and Ulrich were transferred to an SQL database for querying. Journal matching was carried out in two steps. Firstly, the ISSN numbers of journals in Web of Science and Scopus were used to match journal records to Ulrich. In the second step, the remaining journals were then matched using their titles, and these matches were manually verified to reduce the chances of false positives. Using these two steps, we were able to match 20,255 (92.46%) of the journals in Web of Science, and 23,349 (89.70%) of the academic journals from Scopus, with Ulrichsweb journal list.

This dataset consists of papers of universities in the top 30 Scopus Ranking of Ukrainian Universities (May 2023). The data was obtained from Scopus using the search query "AF-ID (“university name”) AND PUBYEAR < 2023 AND PUBYEAR > 2002". Rank-citation curves were also generated for the publications of each university. In this analysis, the rank of publications was plotted along the horizontal axis, while the corresponding citation counts were depicted on the left axis. All types of documents were included in the dataset.

The data in this set was culled from the Directory of Open Access Journals (DOAJ), the Proquest database Library and Information Science Abstracts (LISA), and a sample of peer reviewed scholarly journals in the field of Library Science. The data include journals that are open access, which was first defined by the Budapest Open Access Initiative: By ‘open access’ to [scholarly] literature, we mean its free availability on the public internet, permitting any users to read, download, copy, distribute, print, search, or link to the full texts of these articles, crawl them for indexing, pass them as data to software, or use them for any other lawful purpose, without financial, legal, or technical barriers other than those inseparable from gaining access to the internet itself. Starting with a batch of 377 journals, we focused our dataset to include journals that met the following criteria: 1) peer-reviewed 2) written in English or abstracted in English, 3) actively published at the time of analysis, and 4) scoped to librarianship. The dataset presents an overview of the landscape of open access scholarly publishing in the LIS field during a very specific time period, spring and summer of 2023. Methods Data Collection In the spring of 2023, researchers gathered 377 scholarly journals whose content covered the work of librarians, archivists, and affiliated information professionals. This data encompassed 221 journals from the Proquest database Library and Information Science Abstracts (LISA), widely regarded as an authoritative database in the field of librarianship. From the Directory of Open Access Journals, we included 144 LIS journals. We also included 12 other journals not indexed in DOAJ or LISA, based on the researchers’ knowledge of existing OA library journals. The data is separated into several different sets representing the different indices and journals we searched. The first set includes journals from the database LISA. The following fields are in this dataset:

Journal: title of the journal

Publisher: title of the publishing company

Open Data Policy: lists whether an open data exists and what the policy is

Country of publication: country where the journal is published

Open ranking: details whether the journal is diamond, gold, and/or green

Open peer review: specifies if the journal does open peer review

Author retains copyright: explains copyright policy

Charges: Details whether there is an article processing charge

In DOAJ: details whether the journal is also published in the Directory of Open Access Journals

The second set includes similar information, but it includes the titles of journals listed in the DOAJ.

Journal: states the title of the journal

Publisher: title of the publishing company

Country: country where the journal is published

Open Data Policy: lists whether an open data exists

Open Data Notes: Details about the open data policy

OA since: lists when the journal became open access

Open ranking: details whether the journal is diamond, gold, and/or green

Open peer review: specifies if the journal does open peer review

Author Holds Copyright without Restriction: lists

APC: Details whether there is an article processing charge

Type of CC: lists the Creative Commons license applied to the journal articles

In LISA: details whether the journal is also published in the Library and Information Science Abstracts database

A third dataset includes twelve scholarly, peer reviewed journals focused on Library and Information Science but not included in the DOAJ or LISA.

Journal: states the title of the journal

Publisher: title of the publishing company

Country: country where the journal is published

Open Data Policy: lists whether an open data exists

Open Data Notes: Details about the open data policy

Open ranking: details whether the journal is diamond, gold, and/or green

Open peer review: specifies if the journal does open peer review

Author Holds Copyright without Restriction: lists

APC: Details whether there is an article processing charge

Type of CC: lists the Creative Commons license applied to the journal articles

In LISA?: details whether the journal is also published in the Library and Information Science Abstracts database

Data Processing The researchers downloaded an Excel file from the publisher Proquest that listed the 221 journals included in LISA. From the DOAJ, the researchers searched and scoped to build an initial list. Thus, 144 journals were identified after limiting search results to English-language only journals and those whose scope fell under the following DOAJ search terms: librar* (to cover library, libraries, librarian, librarians, librarianship). Journals also needed to have been categorized within the DOAJ subject heading “Bibliography. Library science. Information resources. And for the journals that we analyzed that were in either index, those journals were included based on the researchers’ knowledge of current scholarly, peer-reviewed journals that would count toward tenure at their own university, an R1 university. Once the journals were identified, the researchers divided up the journals amongst each other and scoped them for the following criteria: 1) peer-reviewed 2) written in English or abstracted in English, 3) actively published at the time of analysis, and 4) scoped to librarianship. The end result was 134 journals that the researchers then explored on their individual websites to identify the following items: open data policies, open access publication options, country of origin, publisher, and peer review process. The researchers also looked for article processing costs, type of Creative Commons licensing (open licenses that allow users to redistribute and sometimes remix intellectual property), and whether the journals were included in either the DOAJ and/or LISA index. References: Budapest Open Access Initiative. (2002) http://www.soros.org/openaccess/

These are the raw data behind the publication:

Appel, A.L.; Albagli, S. The adoption of Article Processing Charges as a business model by Brazilian Open Access journals. Transinformação, 31:e180045, 2019. https://doi.org/10.1590/2318-0889201931e180045

Different funding and business model alternatives for Open Access to scientific publication have been discussed and tried, either by Gold open access journals or by the ‘hybrid’ ones. A growing number of both types of scholarly journals have adopted a publication fee – more specifically an Article Processing Charge – as their open access business model, a procedure that has been the subject of controversies. The objective of this study is to characterize Brazilian open access journals that adopt article processing charges. The main contribution of this study is to audit and support decision making of editorial policies and business models for open access that are being proposed by and for Brazilian journals. We defined a sample of Brazilian open access journals using article processing charges extracted from the Directory of Open Access Journals database in April 2018 along with their classification in the Scimago Journal Ranking, Journal Citation Reports and Qualis Capes system, considered as an indicator of prestige of academic journals. The study reveals that a small number of Brazilian open access journals are currently applying article processing charges, with practices varying mainly according to fields of study, types of organization and classification according to the Qualis system.

Objective: To determine the top 100-ranked (by impact factor) clinical journals' policies toward publishing research previously published on preprint servers (preprints).

Design: Cross sectional. Main outcome measures: Editorial guidelines toward preprints, journal rank by impact factor.

Results: 86 (86%) of the journals examined will consider papers previously published as preprints (preprints), 13 (13%) determine their decision on a case-by-case basis, and 1 (1%) does not allow preprints.

Conclusions: We found wide acceptance of publishing preprints in the clinical research community, although researchers may still face uncertainty that their preprints will be accepted by all of their target journals.

As of June 2024, The Wall Street Journal had over 4.3 million paying subscribers. The majority were online-only subscribers, whilst print readers continued to fall. The Wall Street Journal The Wall Street Journal is a well-respected international newspaper that focuses on business, economics, and politics. The publication is generally seen as a trustworthy source of news and information, with about twice as many people deeming it trustworthy as those that consider it untrustworthy. While measures of trustworthiness can suffer from bias associated with political leanings, accuracy is generally more easily verifiable and thus arguably a better metric for assessing publications of any type. In terms of accuracy, the Wall Street journal ranks extremely high with only around ten percent of people finding it to be inaccurate. Newspaper circulation The Wall Street Journal, as well as The NYTimes, have both successfully managed to cater to both print and digitally focused consumers by becoming multiplatform publications. This is an undoubtedly clever (and perhaps necessary) move in an era where print popularity has waned significantly, as digital readership takes over. The accessibility of smartphone news apps and online news publications have made it difficult for physical newspapers to compete, and although the majority of newspaper circulation revenue still comes from print offerings, companies that wish to continue in the market have been forced to adapt their business strategies to accommodate online-only readers.