186,760 research outputs found
rpsC reference database for xander
Reference gene database (rpsC) for Xander (https://github.com/rdpstaff/Xander_assembler).</p
Figure 1 in Taxonomic revision of the threatened African genus Pseudohydrosme Engl. (Araceae), with P. ebo, a new, critically endangered species from Ebo, Cameroon
Figure 1 Pseudohydrosme ebo (van der Burgt 1888, K, YA). Photo of flowering, leafless plant at Ebo forest, October 2015. Photo by Xander van der Burgt. Full-size DOI: 10.7717/peerj.10689/fig-1Published as part of Cheek, Martin, Tchiengué, Barthélemy & van der Burgt, Xander, 2021, Taxonomic revision of the threatened African genus Pseudohydrosme Engl. (Araceae), with P. ebo, a new, critically endangered species from Ebo, Cameroon, pp. 1-32 in PeerJ 9 on page 3, DOI: 10.7717/peerj.10689, http://zenodo.org/record/584707
Figure 2 in Taxonomic revision of the threatened African genus Pseudohydrosme Engl. (Araceae), with P. ebo, a new, critically endangered species from Ebo, Cameroon
Figure 2 Pseudohydrosme ebo (van der Burgt 2377, K, YA). Photo of plant in leaf, in habitat, Ebo forest, December, 2019. Photo by Xander van der Burgt. Full-size DOI: 10.7717/peerj.10689/fig-2Published as part of Cheek, Martin, Tchiengué, Barthélemy & van der Burgt, Xander, 2021, Taxonomic revision of the threatened African genus Pseudohydrosme Engl. (Araceae), with P. ebo, a new, critically endangered species from Ebo, Cameroon, pp. 1-32 in PeerJ 9 on page 3, DOI: 10.7717/peerj.10689, http://zenodo.org/record/584707
Squirrels communicating at an artificial food source
<p>Videos of squirrels communicating using their tails at an artificial food source. Videos 1-12 recorded in Birmingham, UK, by Xander Van Tilburg. Videos 13-26 recorded in Akron, Ohio, USA, by Bird Watching HQ (<a href="https://birdwatchinghq.com/">https://birdwatchinghq.com/</a>) and published with their permission. </p>
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Supplemental Material - Natural Experiments as a Study Method in Spinal Trauma Surgery: A Systematic Review
Supplemental Material for Natural Experiments as a Study Method in Spinal Trauma Surgery: A Systematic Review by Agnita Stadhouder, Luke Xander van Rossenberg, Charlotte Kik, S. P. J. Muis, F. C. Öner, and R. Marijn Houwert in Global Spine Journal.</p
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
- …
