通过协调平均值将引用和生产力指标结合起来,可以提高研究人员排名的准确性
Ghulam Mustafa1, Muhammad Saeed Khattak2, Muhammad Tanvir Afzal2
1Department of Computing, Shifa Tameer-e-Millat University, Islamabad, 44000, Pakistan. ghulam.mustafa.ssc@stmu.edu.pk.
Scientific reports
|November 29, 2025
概括
本研究引入了一种新的研究人员排名指数,使用最不连接的参数的和平均值 (HM). 这种新的方法提供了一个强大的和改进的方法来评估与现有的指标相比,科学影响.
科学领域:
- 神经科学是一个神经科学.
- 图书统计学 图书统计学
- 科学测量公司的科学测量.
背景情况:
- 预测科学影响和对研究人员进行排名对于生产力和决策至关重要.
- 现有的指标如引用数,h指数和h型指标都有局限性,没有普遍接受.
- 各个领域都认识到需要改进科学评估方法的必要性.
研究的目的:
- 根据对影响力参数的全面分析,开发一个新的排名研究人员指数.
- 确定和结合最有效和独特的指标来评估研究人员的影响.
- 通过整合不同的评估标准来克服单一指标的局限性.
主要方法:
- 对1060名神经科学研究人员 (获奖者和非获奖者) 的数据集进行分析.
- 对排名前100名的获奖者进行评估,确定五个关键参数.
- 深度学习的应用用于参数精细化和输出不连接性的评估.
- 检查七种统计模型,用于组合不连接的参数对.
- 使用和平均值 (HM) 来从最不连接的对创建一个新的排名指数.
主要成果:
- 上方的h2和k指数显示出最高的脱节率 (0.97).
- 平均方法实现了高的平均冲击得分 (0.76),并保持了参数的独特性.
- 新制定的HM指数显示了与现有指标相比显著改善的表现.
结论:
- 一个新的研究人员排名指数,基于最不连接的参数的和平均值,提供了一个强大的解决方案.
- 这一新指数有效地捕捉了研究人员影响的更广泛的范围,减少了偏见并提高了排名可靠性.
- 这些发现为科学评估和决策过程提供了更有效的工具.
相关概念视频
01:09Harmonic Mean
3.6K
The arithmetic mean is usually skewed towards the larger values in the data set. Therefore, to avoid this inherent bias towards smaller values, the harmonic mean is used.
Take the example of the speed of a car, which is the measure of the rate of distance traveled. If the vehicle traverses the same distance back-and-forth, its average speed equals the total distance traveled divided by the total time taken. However, if the car moves with varying speeds, then the arithmetic mean is more skewed...
Take the example of the speed of a car, which is the measure of the rate of distance traveled. If the vehicle traverses the same distance back-and-forth, its average speed equals the total distance traveled divided by the total time taken. However, if the car moves with varying speeds, then the arithmetic mean is more skewed...
3.6K
01:08Arithmetic Mean
17.1K
The arithmetic mean is the most commonly used measure of the central tendency of a data set. It is defined as the sum of all the elements constituting the data set, divided by the total number of elements. It is sometimes loosely referred to as the “average.”
When all the values in a data set are not unique, the sum in the numerator can be calculated by multiplying each distinct value by its frequency.
Sometimes, the arithmetic mean of a sample can be affected by a few data points...
When all the values in a data set are not unique, the sum in the numerator can be calculated by multiplying each distinct value by its frequency.
Sometimes, the arithmetic mean of a sample can be affected by a few data points...
17.1K
01:15Geometric Mean
3.9K
The mean is a measure of the central tendency of a data set. In some data sets, the data is inherently multiplicative, and the arithmetic mean is not useful. For example, the human population multiplies with time, and so does the credit amount of financial investment, as the interest compounds over successive time intervals.
In cases of multiplicative data, the geometric mean is used for statistical analysis. First, the product of all the elements is taken. Then, if there are n elements in the...
In cases of multiplicative data, the geometric mean is used for statistical analysis. First, the product of all the elements is taken. Then, if there are n elements in the...
3.9K
00:57Weighted Mean
6.2K
While taking the arithmetic, geometric, or harmonic mean of a sample data set, equal importance is assigned to all the data points. However, all the values may not always be equally important in some data sets. An intrinsic bias might make it more important to give more weightage to specific values over others.
For example, consider the number of goals scored in the matches of a tournament. While computing the average number of goals scored in the tournament, it may be more important to...
For example, consider the number of goals scored in the matches of a tournament. While computing the average number of goals scored in the tournament, it may be more important to...
6.2K
01:13Average Power
988
In practical electrical applications, the concept of time-varying instantaneous power is not frequently utilized. Instead, focus shifts to the more practical quantity known as average power. Average power is determined by integrating the instantaneous power over a specified time period and subsequently dividing it by that duration.
988
01:18Percentile
8.4K
A percentile indicates the relative standing of a data value when data are sorted into numerical order from smallest to largest. It represents the percentages of data values that are less than or equal to the pth percentile. For example, 15% of data values are less than or equal to the 15th percentile.
8.4K