The decomposition maps for keywords in adherence research, 2000–2005.

Replication Data for "Mapping the Structure and Evolution of Software Testing Research Over the Past Three Decades"

Alireza Salahirad
Gregory Gay
Ehsan Mohammadi

September 2021

In this research (publication included in the package), we have used author-assigned keywords as a q...

Replication Data for "Mapping the Structure and Evolution of Software Testing Research Over the Past Three Decades"

Alireza Salahirad
Gregory Gay
Ehsan Mohammadi

September 2021

In this research (publication included in the package), we have used author-assigned keywords as a q...

Supporting evidence of marker redundancy based on mapping information as a function of sequence similarity threshold.

Anna Blenda (134913)
David D. Fang (134916)
Jean-François Rami (85074)
Olivier Garsmeur (87774)
Feng Luo (47640)
Jean-Marc Lacape (121952)

September 2012

Number of pairs of suspected redundant markers associated with map information (whether map local...

Map for keywords in adherence research, 2000–2005.

Juan Zhang (48597)
Jun Xie (53987)
Wanli Hou (327191)
Xiaochen Tu (294318)
Jing Xu (15337)
Fujian Song (118737)
Zhihong Wang (142713)
Zuxun Lu (214824)

February 2013

The size of nodes indicates the keywords centrality, and the thickness of the lines indicates the...

Author keyword networks co-occurrence.

Luis-Millán González (5580113)
Xavier García-Massó (579859)
Alberto Pardo-Ibañez (5580116)
Fernanda Peset (5580119)
José Devís-Devís (579861)

August 2018

(A) shows the network of co-occurrences with 3994 nodes (threshold≥ 5). (B) shows the reduction o...

Keyword co-occurrence networks.

Xiaohui Yao (3383204)
Jingwen Yan (2593207)
Michael Ginda (4568065)
Katy Börner (151476)
Andrew J. Saykin (114058)
Li Shen (110858)

November 2017

(A) Keyword co-occurrence network containing only nodes with degree ≥ 10. Nodes represent keyword...

Map of keyword co-occurrence network in cancer-related fatigue in ovarian cancer survivors.

Yuanxia Liu (13844631)
Qianxia Liu (10787325)
Xiaolian Jiang (397892)

September 2022

Map of keyword co-occurrence network in cancer-related fatigue in ovarian cancer survivors.</p

Network of the top 20 keywords ranked by strength during 2017–2021.

Burcu Ozek (16949357)
Zhenyuan Lu (8638701)
Fatemeh Pouromran (11105496)
Srinivasan Radhakrishnan (3854017)
Sagar Kamarthi (1783327)

September 2023

Nodes are the keywords; edges are the co-occurrences of the pairs of keywords.</p

The KCN for the five most frequently used keywords during 2017–2021.

Burcu Ozek (16949357)
Zhenyuan Lu (8638701)
Fatemeh Pouromran (11105496)
Srinivasan Radhakrishnan (3854017)
Sagar Kamarthi (1783327)

September 2023

Nodes (entities) are the keywords of the articles, edges (links) are the co-occurrences of pairs of ...

Map of keyword clustering in cancer-related fatigue in ovarian cancer survivors.

Yuanxia Liu (13844631)
Qianxia Liu (10787325)
Xiaolian Jiang (397892)

September 2022

Map of keyword clustering in cancer-related fatigue in ovarian cancer survivors.</p

Relationship between the number of bursts and keyword frequency rankings.

Mizuki Oka (406729)
Takashi Ikegami (53782)

April 2013

There was a tendency for less-frequent keywords to have a greater number of bursts and the fewer ...

Co-occurrence network of the most frequently used author keywords.

Xinmin Zhang (47340)
Ronald C. Estoque (6320957)
Hualin Xie (6320960)
Yuji Murayama (2676763)
Manjula Ranagalage (6320963)

February 2019

Note: A threshold of 3 was applied for these 132 highly cited articles, which resulted in a total of...

The trends in the keyword co-occurrence network parameters.

Srinivasan Radhakrishnan (3854017)
Serkan Erbis (1783330)
Jacqueline A. Isaacs (1740847)
Sagar Kamarthi (1783327)

March 2017

(a) Average weight vs. endpoint degree and (b) average weighted nearest neighbor degree vs. node ...

Keyword and network-level metrics for the four keyword networks from Natura 2000 network (N2K) studies.

Viorel D. Popescu (479437)
Laurentiu Rozylowicz (3207501)
Iulian M. Niculae (664322)
Adina L. Cucu (664323)
Tibor Hartel (423919)

November 2014

Keyword and network-level metrics for the four keyword networks from Natura 2000 network (N2K) st...

Mapping the Knowledge Structure of Research on Patient Adherence: Knowledge Domain Visualization Based Co-Word Analysis and Social Network Analysis

Zhang Juan
Xie Jun
Hou Wanli
Tu Xiaochen
Xu Jing
Song Fujian
Wang Zhihong
Lu Zuxun

April 2012

Patient adherence is an important issue for health service providers and health researchers. However...

Replication Data for "Mapping the Structure and Evolution of Software Testing Research Over the Past Three Decades"

Alireza Salahirad
Gregory Gay
Ehsan Mohammadi

September 2021

In this research (publication included in the package), we have used author-assigned keywords as a q...

Replication Data for "Mapping the Structure and Evolution of Software Testing Research Over the Past Three Decades"

Alireza Salahirad
Gregory Gay
Ehsan Mohammadi

September 2021

In this research (publication included in the package), we have used author-assigned keywords as a q...

Supporting evidence of marker redundancy based on mapping information as a function of sequence similarity threshold.

Anna Blenda (134913)
David D. Fang (134916)
Jean-François Rami (85074)
Olivier Garsmeur (87774)
Feng Luo (47640)
Jean-Marc Lacape (121952)

September 2012

Number of pairs of suspected redundant markers associated with map information (whether map local...

Map for keywords in adherence research, 2000–2005.

Juan Zhang (48597)
Jun Xie (53987)
Wanli Hou (327191)
Xiaochen Tu (294318)
Jing Xu (15337)
Fujian Song (118737)
Zhihong Wang (142713)
Zuxun Lu (214824)

February 2013

The size of nodes indicates the keywords centrality, and the thickness of the lines indicates the...

Author keyword networks co-occurrence.

Luis-Millán González (5580113)
Xavier García-Massó (579859)
Alberto Pardo-Ibañez (5580116)
Fernanda Peset (5580119)
José Devís-Devís (579861)

August 2018

(A) shows the network of co-occurrences with 3994 nodes (threshold≥ 5). (B) shows the reduction o...

Keyword co-occurrence networks.

Xiaohui Yao (3383204)
Jingwen Yan (2593207)
Michael Ginda (4568065)
Katy Börner (151476)
Andrew J. Saykin (114058)
Li Shen (110858)

November 2017

(A) Keyword co-occurrence network containing only nodes with degree ≥ 10. Nodes represent keyword...

Map of keyword co-occurrence network in cancer-related fatigue in ovarian cancer survivors.

Yuanxia Liu (13844631)
Qianxia Liu (10787325)
Xiaolian Jiang (397892)

September 2022

Map of keyword co-occurrence network in cancer-related fatigue in ovarian cancer survivors.</p

Network of the top 20 keywords ranked by strength during 2017–2021.

Burcu Ozek (16949357)
Zhenyuan Lu (8638701)
Fatemeh Pouromran (11105496)
Srinivasan Radhakrishnan (3854017)
Sagar Kamarthi (1783327)

September 2023

Nodes are the keywords; edges are the co-occurrences of the pairs of keywords.</p

The KCN for the five most frequently used keywords during 2017–2021.

Burcu Ozek (16949357)
Zhenyuan Lu (8638701)
Fatemeh Pouromran (11105496)
Srinivasan Radhakrishnan (3854017)
Sagar Kamarthi (1783327)

September 2023

Nodes (entities) are the keywords of the articles, edges (links) are the co-occurrences of pairs of ...

Map of keyword clustering in cancer-related fatigue in ovarian cancer survivors.

Yuanxia Liu (13844631)
Qianxia Liu (10787325)
Xiaolian Jiang (397892)

September 2022

Map of keyword clustering in cancer-related fatigue in ovarian cancer survivors.</p

Relationship between the number of bursts and keyword frequency rankings.

Mizuki Oka (406729)
Takashi Ikegami (53782)

April 2013

There was a tendency for less-frequent keywords to have a greater number of bursts and the fewer ...

Co-occurrence network of the most frequently used author keywords.

Xinmin Zhang (47340)
Ronald C. Estoque (6320957)
Hualin Xie (6320960)
Yuji Murayama (2676763)
Manjula Ranagalage (6320963)

February 2019

Note: A threshold of 3 was applied for these 132 highly cited articles, which resulted in a total of...

The trends in the keyword co-occurrence network parameters.

Srinivasan Radhakrishnan (3854017)
Serkan Erbis (1783330)
Jacqueline A. Isaacs (1740847)
Sagar Kamarthi (1783327)

March 2017

(a) Average weight vs. endpoint degree and (b) average weighted nearest neighbor degree vs. node ...

Keyword and network-level metrics for the four keyword networks from Natura 2000 network (N2K) studies.

Viorel D. Popescu (479437)
Laurentiu Rozylowicz (3207501)
Iulian M. Niculae (664322)
Adina L. Cucu (664323)
Tibor Hartel (423919)

November 2014

Keyword and network-level metrics for the four keyword networks from Natura 2000 network (N2K) st...

Mapping the Knowledge Structure of Research on Patient Adherence: Knowledge Domain Visualization Based Co-Word Analysis and Social Network Analysis

Zhang Juan
Xie Jun
Hou Wanli
Tu Xiaochen
Xu Jing
Song Fujian
Wang Zhihong
Lu Zuxun

April 2012

Patient adherence is an important issue for health service providers and health researchers. However...

Replication Data for "Mapping the Structure and Evolution of Software Testing Research Over the Past Three Decades"

Alireza Salahirad
Gregory Gay
Ehsan Mohammadi

September 2021

In this research (publication included in the package), we have used author-assigned keywords as a q...

Replication Data for "Mapping the Structure and Evolution of Software Testing Research Over the Past Three Decades"

Alireza Salahirad
Gregory Gay
Ehsan Mohammadi

September 2021

In this research (publication included in the package), we have used author-assigned keywords as a q...

Supporting evidence of marker redundancy based on mapping information as a function of sequence similarity threshold.

Anna Blenda (134913)
David D. Fang (134916)
Jean-François Rami (85074)
Olivier Garsmeur (87774)
Feng Luo (47640)
Jean-Marc Lacape (121952)

September 2012

Number of pairs of suspected redundant markers associated with map information (whether map local...

The decomposition maps for keywords in adherence research, 2000–2005.

Abstract

Extracted data

The decomposition maps for keywords in adherence research, 2000–2005.

Abstract

Extracted data

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