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Record W2340469576 · doi:10.1055/s-0036-1583260

The Impact Factor and Scientific Journals

2016· article· en· W2340469576 on OpenAlexaboutno aff
Jeffrey C. Wang

Bibliographic record

VenueGlobal Spine Journal · 2016
Typearticle
Languageen
FieldMedicine
TopicGlobal Health and Surgery
Canadian institutionsnot available
Fundersnot available
KeywordsImpact factorAudience measurementScrutinyPopularityMedicineEditorial boardCitationMandateNoticeQuality (philosophy)Library sciencePolitical scienceLawComputer science

Abstract

fetched live from OpenAlex

Thanks to you, our readership, our combined Global Spine Journal/Evidence-Based Spine-Care Journal has enjoyed substantial popularity in terms of submissions. In response to this demand, the AOSpine International Board has given us permission to increase our number of annual issues from 6 to 8. This increase in annual issues has come with a number of stipulations, of which one of the leading ones is the mandate to achieve a competitive Impact Factor (IF) over the next 2 years. As a relatively young PubMed listed publication we needed to accumulate at least 2 years of continuous quality publications to qualify for this rating. Thanks to your many submissions and our outstanding volunteer reviewers we now have reached a point where we are able to stand the scrutiny of the scientific community at large. We thought that you might be interested in learning more about the ways the IF is determined. The IF is a proprietary calculation provided as a paid service by Thomson Scientific, a subsidiary of the Thomson Reuters Corporation based in New York, USA and Toronto, Canada. Basically, the IF is calculated as the quotient of the number of citations that the journal in question received in the over 11,000 indexed journals in the year after a 2-year review period. This number of citations is then divided by the number of “citable items” published in that journal in the 2 reviewed years. In example, for GSJ/EBSJ the number of citations that our articles published in 2014 and 2015 receive in other indexed journals in 2016 is divided by the number of “citable articles” that we published during the 2014–2015 period. This number is then published as the “2016 IF” in 2017. As in anything metric, the IF can and will then be used for comparison to other specialty journals that are indexed in the Web of Science (IS), which is a Thomson Reuters subscription-based service consisting of about 11,000 scientific publications. GSJ/EBSJ has now acquired enough of a track record to go up for a rating of an IF and as stated our Board and our peers will scrutinize our rankings closely as a measure of our success. There are several well-established strategies to improve an IF calculation. The main recipe is to limit the amount of “citable” items to such articles that stand a chance to be quoted elsewhere. This puts biographies, abstracts, and especially case reports into the category of “undesirable” publications, as they are usually viewed as “citable” articles by Thomson Scientific, but unfortunately have a very low likelihood of actually getting quoted in other scientific publications. For us in AOSpine and our Editorial Board the decision not to accept case reports (CR) was a difficult one. We are aware that we serve a global interdisciplinary constituency of spine surgeons. For many colleagues, formal research resources have been hard to come by—a CR of an interesting appearing or unusual case together with a literature review is a welcome stepping stone into the world of published academia. Similar motivations have made CRs the preferred entry point into the world of peer-reviewed scientific publications for trainees around the world. Sadly in a world of increasing push for fiscal efficiencies the work load required to process CRs stands in no relation to the number of submissions and the chances that such a CR will become a quotations hit. In our world of “Evidence-Based Medicine” CRs do not even register as they form the very bottom of the pyramid at Level 5! In looking at these negatives, are there any justifications left to keep looking at CRs or will they become extinct in the not too distant future? Interestingly, CRs have held a significant place in medicine as an early warning system for unusual or perplexing developments and observations. Two classic examples for CRs being the harbingers of much bigger things to come can be found in the world of infectious diseases with HIV and Ebola having been first reported on a case basis well before any mainstream scientific investigations were started.1 2 In spine traumatology it was the landmark CR by Frank Eismont that raised our awareness about cervical dislocations with traumatic disk herniations possibly leading to secondary neurologic damage in case of an inopportune reduction.3 Another important aspect of CRs presents with very rare complications or events—such as perioperative blindness.4 So CRs can have a vital role as an early warning alarm prior to any formal investigation. In our era of information overflow the occasion where such meaningful nuggets can achieve recognition has sadly dropped to near nil. As Editors-in-Chief of GSJ/EBSJ we hope that our decision to concentrate on your high-quality scientific contributions and achieve a respectable IF rating will find your full support. And all other things aside—should you be convinced that you stumbled upon a major breakthrough insight from a case report, please let us know!

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.048
metaresearch head score (Gemma)0.325
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Bibliometrics
Consensus categoriesnone
DomainCandidate signal: Evaluation · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.955
Threshold uncertainty score0.252

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0480.325
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0060.002
Bibliometrics0.0450.085
Science and technology studies0.0050.019
Scholarly communication0.0580.034
Open science0.0040.010
Research integrity0.0090.012
Insufficient payload (model declined to judge)0.0510.045

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.037
GPT teacher head0.383
Teacher spread0.346 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designTheoretical or conceptual
DomainEvaluation
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2016
Admission routes1
Has abstractyes

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