Civil Rights
Movements, leaders, victories and the continuing fight for equality.
q2K BHP
Black History Portal
THE BHP WIRE —
HIDDEN TRUTHS
What's New!
Explore the people, places, events, achievements, struggles and stories that shaped our journey.
Movements, leaders, victories and the continuing fight for equality.
Innovation, patents, science, technology and world-changing contributions.
Pioneers, champions, Negro Leagues, records, activism and excellence.
Meet the people whose lives, choices and achievements shaped the journey.
Black towns, communities, institutions and places where history happened.
Moments that changed communities, movements, institutions and the nation.
In 1968 Shirley Chisholm became the first Black woman elected to the United States Congress. In 1972 she launched a campaign for the Democratic presidential nomination, breaking another political barrier.
MORE →Reflects the personal views, recollections, and perspective of the author, Mike Davis.
This is a personal recollection on the Move fire on May 13, 1985
| Part of a series on |
| Citation metrics |
|---|
 |
| Concepts |
| Author-level |
| Article-level |
| Journal-level |
The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal.[1] Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals.[2] As a measure of importance, the Eigenfactor score scales with the total impact of a journal. All else equal, journals generating higher impact to the field have larger Eigenfactor scores. Citation metrics like eigenfactor or PageRank-based scores reduce the effect of self-referential groups.[3][4]
Eigenfactor scores and Article Influence scores (AIS) are calculated by eigenfactor.org, where they can be freely viewed. The Eigenfactor score is intended to measure the importance of a journal to the scientific community, by considering the origin of the incoming citations, and is thought to reflect how frequently an average researcher would access content from that journal.[2] However, the Eigenfactor score is influenced by the size of the journal, so that the score doubles when the journal doubles in size (measured as number of published articles per year).[5] The Article Influence score measures the average influence of articles in the journal, and is therefore comparable to the traditional impact factor.
The Eigenfactor approach is thought to be more robust than the impact factor metric,[6] which purely counts incoming citations without considering the significance of those citations.[7] While the Eigenfactor score is correlated with total citation count for medical journals,[8] these metrics provide significantly different information. For a given number of citations, citations from more significant journals will result in a higher Eigenfactor score.[9] Eigenfactor is similar to Eigenvector centrality and PageRank.
Originally Eigenfactor scores were measures of a journal's importance; it has been extended to author-level.[10] It can also be used in combination with the h-index to evaluate the work of individual scientists.
| Journals | |
|---|---|
| Papers | |
| Grey literature | |
| Other publication types | |
| Impact and ranking |
|
| Reform and access | |
| Versioning | |
| Indexes and search engines | |
| Related topics | |
| Lists | |
Source: Wikipedia. Article content is retrieved live through the MediaWiki API.
The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. As a measure of importance, the Eigenfactor score scales with the total impact of a journal. All else equal, journals generating higher impact to the field have larger Eigenfactor scores. Citation metrics like eigenfactor or PageRank-based scores reduce the effect of self-referential groups. Eigenfactor scores and Article Influence scores (AIS) are calculated by eigenfactor.org, where they can be freely viewed. The Eigenfactor score is intended to measure the importance of a journal to the scientific community, by considering the origin of the incoming citations, and is thought to reflect how frequently an average researcher would access content from that journal. However, the Eigenfactor score is influenced by the size of the journal, so that the score doubles when the journal doubles in size (measured as number of published articles per year). The Article Influence score measures the average influence of articles in the journal, and is therefore comparable to the traditional impact factor. The Eigenfactor approach is thought to be more robust than the impact factor metric, which purely counts incoming citations without considering the significance of those citations. While the Eigenfactor score is correlated with total citation count for medical journals, these metrics provide significantly different information. For a given number of citations, citations from more significant journals will result in a higher Eigenfactor score. Eigenfactor is similar to Eigenvector centrality and PageRank. Originally Eigenfactor scores were measures of a journal's importance; it has been extended to author-level. It can also be used in combination with the h-index to evaluate the work of individual scientists.
Annals of Botany is a monthly peer-reviewed scientific journal publishing experimental, theoretical and applied papers on all aspects of plant biology. As of 2024, the Chief Editor is Rowan Sage. The journal is owned and managed by the Annals of Botany Company, a non-profit educational charity registered with the Charity Commission for England and Wales. It is published monthly through Oxford University Press in paper form and online, and is paid for primarily by institutional annual subscriptions. Regular extra issues, published free-of-charge, focus on topical themes. The journal does not levy page charges but authors may choose to pay a standard fee to secure open access status for their papers. According to Journal Citation Reports, in 2019 (published 2020) Annals of Botany’s impact factor was 4.005 and was ranked 27th out of 234 journals in the Plant Sciences category. The Journal's Eigenfactor was 0.01652, its H-Index 165 and the SCImago score 1.615. Also owned by the educational charity, Annals of Botany has two sister journals, AoB Plants, an online only open access botanical journal and in silico PLANTS, an online open access journal devoted to plant modelling. It is also closely associated with the informal online plant science publication Botany One.
The IEEE Sensors Journal is a biweekly peer-reviewed scientific journal, covering research on sensors. It is published by the IEEE Sensors Council, and it is the largest journal by topic among 240 IEEE publications. The editor-in-chief is Zeynep Celik. According to the Journal Citation Reports, the journal has a 2024 impact factor of 4.5, as well as an Eigenfactor at 0.06595, and an Article Influence Score at 0.745
Author-level metrics are citation metrics that measure the bibliometric impact of individual authors, researchers, academics, and scholars. Many metrics have been developed that take into account varying numbers of factors (from only considering the total number of citations, to looking at their distribution across papers or journals using statistical or graph-theoretic principles). These quantitative comparisons between researchers are mostly done to distribute resources (such as money and academic positions). However, there is still debate in the academic world about how effectively author-level metrics accomplish this objective. Author-level metrics differ from journal-level metrics, which attempt to measure the bibliometric impact of academic journals rather than individuals, and from article-level metrics, which attempt to measure the impact of individual articles. However, metrics originally developed for academic journals can be reported at researcher level, such as the author-level eigenfactor and the author impact factor.
Before the 1921 destruction of Tulsa’s Greenwood District, Black residents had created a remarkable center of business and community life. The district included stores, professional offices, entertainment venues and homes owned by Black citizens. Understanding Greenwood means learning what was built—not only what was burned.
MORE →Shirley Chisholm, elected in 1968.
