Evidence map›Paper›PMID 21170175›Full record

ArticleProceedings. IEEE International Conference on Bioinformatics and Biomedicine2009

Investigating and Annotating the Role of Citation in Biomedical Full-Text Articles.

Hong Yu, Shashank Agarwal, Nadya Frid

Abstract read
In one paragraph

Article in Proceedings. IEEE International Conference on Bioinformatics and Biomedicine, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Automatically classifying the role of citations in biomedical articles.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2010
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Hong YuUniversity of Wisconsin-Milwaukee.
Shashank Agarwal
Nadya Frid

Funding

Exploring Natural Language Processing, Image Processing, Machine Learning, and UsR01GM095476 · NIGMS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI YU, HONG · 2011 to 2015
$2.5M
HERMES - Help physicians to Extract and aRticulate Multimedia information from liR01LM009836 · NLM · UNIVERSITY OF WISCONSIN MILWAUKEE · PI YU, HONG · 2007 to 2009
$1.3M
NIGMS NIH HHS R01 GM095476NLM NIH HHS R01 LM009836
6 · The paper itself

Abstract

Citations are ubiquitous in scientific articles and play important roles for representing the semantic content of a full-text biomedical article. In this work, we manually examined full-text biomedical articles to analyze the semantic content of citations in full-text biomedical articles. After developing a citation relation schema and annotation guideline, our pilot annotation results show an overall agreement of 0.71, and here we report on the research challenges and the lessons we've learned while trying to overcome them. Our work is a first step toward automatic citation classification in full-text biomedical articles, which may contribute to many text mining tasks, including information retrieval, extraction, summarization, and question answering.

Identifiers

PMID21170175
PMCPMC3003334

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.