An Overview on the twenty journals with the highest Journal Impact Factors within the Subject Category General & Internal Medicine and their status as Open Access or Closed Access Journals.

This table provides information on the subject categories of the 20 Journals with the highest Journal Impact Factors, collection date: 2014-02-17.

Data and supplementary material in support of "Deutz, D.B., Vlachos, E., Drongstrup, D., Dorch, B.F., Wien, C. (2019). Effective Publication Strategies in Clinical Research, PLOS ONE".

Content:

A README file with details regarding the purpose of the data collection, the setting and methodology and descriptions of the rest of the files, the Python script used to extract publication data from the Scopus API, the interview invitation email, the interview guidelines, the information regarding the interviews, supporting information on raw publication data, two tables as presented at the publication, and the coordinates of a plot.

Datasets for publication: 'Measuring the excellence contribution at the journal level: An alternative to Garfield's Impact Factor'.

Overview. Overview of the number of journals, publications, excellent publications and multidisciplinarity for each category considered.

ALL. Journal indicators for all the document types by JCR category.

ALL_JCR. Journal indicators for all the document types by JCR category (only journals indexed in the JCR category are taken into account).

AR. Journal indicators for only articles and reviews by JCR category.

AR_JCR. Journal indicators for only articles and reviews by JCR category (only journals indexed in the JCR category are taken into account).

Gridded global potentially affected fraction of species (PAF) in 2050 and 2100 per kg GHG for 3 RCPs (2.6, 4.5,8.5) averaged over all species groups.

Full method description is available in the article: Spatially and taxonomically explicit characterisation factors for greenhouse gas emission impacts on biodiversity - ScienceDirect

The Biodiversity Footprint Database contains global consumption-based, monetary, biodiversity impact factors for 44 countries and five rest of the world regions. The dataset has been compiled by combining information from EXIOBASE and LC-IMPACT databases. In addition, the EXIOBASE database has been analyzed with the pymrio analysis tool to determine the geographical location of the consumption-based biodiversity impacts. The mid-point impact factors from EXIOBASE are based on 2019 data, but the regional analysis with pymrio is based on 2011 data. EXIOBASE version 3.8.2 was used and LC-IMPACT version 1.3. The data is currently non peer-reviewed and under submission. The database will be open access after publication. The preprint of the manuscript can be found from: https://doi.org/10.48550/arXiv.2309.14186

About the units

The unit used in the database is the biodiversity equivalent (BDe). The biodversity equivalent, as we call it, is more commonly known as the global potentially disappeared fraction of species (global PDF, Verones et al., 2020). Thus, the monetary biodiversity impact factors are presented in the form BDe/€.

Prices are in basic prices and the conversion factors to transform purchaser prices (e.g. financial accounting prices) to basic prices are provided for Finland (and later for all regions), based on EXIOBASE supply and use tables (SUT).

Content of files

BiodiversityFootprintDatabase.xlsx

The biodiversity impact factors, regional abbreviations and basic price conversion factors for Finland.

BiodiversityFootprintDatabase_DetailedData.zip

The detailed data used to combine EXIOBASE and LC-IMPACT data after the EXIOBASE data was analyzed with the pymrio tool. Contains folders for each driver of biodiversity loss according to the LC-IMPACT classification.

20220406_Exio3stressorcode _2011.py & 20220406_Exio3StressorAggregationCode_2011.py

The pymrio codes that were used to analyze EXIOBASE and the geographical location of the drivers of biodiversity loss (mid-point indicators).

An overview on the portion of Open Access journals among the Sociology Journals with the highest JIF scores (2002-2012).

Characterization matrix linking the elementary flows of ecoinvent3.5 to 36 impact categories of IMPACT World+.

The dataset includes the characterization matrix itself and another matrix linking UUIDs of the elementary flows to their metadata (i.e., units, compartments, sub-compartments).

Version of IW+ used: 10.5281/zenodo.3521034

Dataset accompanying the paper submitted to F1000 entitled The Varying Openness of Digital Open Science Tools.

Abstract of paper

Digital tools that support Open Science practices play a key role in the seamless accumulation, archiving and dissemination of scholarly data, outcomes and conclusions. Despite their integration into Open Science practices, the providence and design of these digital tools are rarely explicitly scrutinized. This means that influential factors, such as the funding models of the parent organizations, their geographic location, and the dependency on digital infrastructures are rarely considered. Suggestions from literature and anecdotal evidence already draw attention to the impact of these factors, and raise the question of whether the Open Science ecosystem can realise the aspiration to become a truly “unlimited digital commons” in its current structure.

In an online research approach, we compiled and analysed the geolocation, terms and conditions as well as funding models of 242 digital tools increasingly being used by researchers in various disciplines. Our findings indicate that design decisions and restrictions are biased towards researchers in North American and European scholarly communities. In order to make the future Open Science ecosystem inclusive and operable for researchers in all world regions including Africa, Latin America, Asia and Oceania, those should be actively included in design decision processes.

Digital Open Science Tools carry the promise of enabling collaboration across disciplines, world regions and language groups through responsive design. We therefore encourage long term funding mechanisms and ethnically as well as culturally inclusive approaches serving local prerequisites and conditions to tool design and construction allowing a globally connected digital research infrastructure to evolve in a regionally balanced manner.

This is the open data for the preprint "Measuring Back: Bibliodiversity and the Journal Impact Factor brand. A Case study of IF-journals included in the 2021 Journal Citations Report."

The up-to-date IMPACT World+ method for EXIOBASE is now available here: https://doi.org/10.5281/zenodo.7348580

Diffraction data from a lysozyme crystal. Data collected at 7.5 keV at the AMX beamline, NSLS-II. 360 degrees were collected, with 0.2 deg per frame. This data set contains 2 folders; 1 from uncompressed data and 1 from data compressed using lossy compression as follow: frames were summed (2x), pixels were binned (2x) and Hcompress with level 24 was applied to uncompressed data.

Dataset Country-based impact document.
Source: Web of Science and INCITES.
Date: Data obtained between April 2020 and February 2021.

Background: The assessment of scientific publications is an integral part of the scientific process. Here we investigate three methods of assessing the merit of a scientific paper: subjective post-publication peer review, the number of citations gained by a paper and the impact factor of the journal in which the article was published. Methodology/principle findings: We investigate these methods using two datasets in which subjective post-publication assessments of scientific publications have been made by experts. We find that there are moderate, but statistically significant, correlations between assessor scores, when two assessors have rated the same paper, and between assessor score and the number of citations a paper accrues. However, we show that assessor score depends strongly on the journal in which the paper is published, and that assessors tend to over-rate papers published in journals with high impact factors. If we control for this bias, we find that the correlation between assessor scores and between assessor score and the number of citations is weak, suggesting that scientists have little ability to judge either the intrinsic merit of a paper or its likely impact. We also show that the number of citations a paper receives is an extremely error-prone measure of scientific merit. Finally, we argue that the impact factor is likely to be a poor measure of merit, since it depends on subjective assessment. Conclusions: We conclude that the three measures of scientific merit considered here are poor; in particular subjective assessments are an error-prone, biased and expensive method by which to assess merit. We argue that the impact factor may be the most satisfactory of the methods we have considered, since it is a form of pre-publication review. However, we emphasise that it is likely to be a very error-prone measure of merit that is qualitative, not quantitative.

Dataset on LCA results of electricity generation and supply in Italy for 2018, 2019 and 2020 (current mix) and two future scenarios (2030) - Soil Quality Index, average demand perspective.

Modelling materials and methods are described in the paper "Life-cycle assessment of current and future electricity supply in Italy: addressing average and marginal hourly demand".

data related to the following article: Lagain A. et al. (2021). Latitudinal dependency of the impact rate: any room for a recalibration of crater chronologies ? submitted to EPSL (July 2021).

Dataset 1 contains life cycle impact factors used for each stage of the urban metabolism for all spatial levels.

Dataset 2 contains the transport distances and modes from supplier locations for all spatial levels.

Dataset 3 contains material flow and life cycle impact assessment results for each year (2017-2050) and all spatial levels.

Overview and guidance for using the data in "CFs_freshwater_eutrophication" related to the article "Global Regionalized Characterization Factors for Phosphorus and Nitrogen Impacts on Freshwater Fish Biodiversity"

See the "readme_CFs_freshwater_eutrophication.pdf" file to find the details of the enclosed data.

Units

• Phosphorus from direct emissions to freshwater or diffuse sources on the soil: PDF·year/kgP
• Nitrogen from direct emissions to freshwater or diffuse sources on the soil: PDF·year/kgN
• Erosion: PDF·year/(m2·year)

Please excuse any typos in the units in the xlsx files.

Data and code for manuscript:

David B Resnik, Melissa Morales, Rachel Landrum, Min Shi, Jessica Minnier, Nicole A. Vasilevsky & Robin E. Champieux (2019) Effect of Impact Factor and Discipline on Journal Data Sharing Policies, Accountability in Research, DOI: 10.1080/08989621.2019.1591277

Zenodo pre-print DOI: https://doi.org/10.5281/zenodo.2592682

Data collection utilized three sources:

2016 InCites Journal Citations Report

Directory of Open Access Journal

Journal websites and author guidelines

The data was collected and analyzed between May 2018 and October 2018.

Data and Code

Data can be found in data/if-discipline-datasharing-policy-rawdata-1.0.0.csv.

Analysis code for tables and figures can be seen in code/analysis_report.md (author of code: Jessica Minnier, OHSU, @jminnier)

We investigated the effects of prolonged chronic social isolation stress on behavioral, cognitive, and physiological performance in the social, long-lived rodent Octodon degus. Degu pups were separated into two social stress treatments: control (CTRL) and chronically isolated (CI) individuals from post-natal and post-weaning until adulthood. We quantified anxiety-like behavior and cognitive performance with behavioral tests. Additionally, we measured their basal metabolic rate (BMR). Data include behavioral tests and physiological traits (body mass and Basal Metabolic Rate).