def test_get_indicators(self):
'''Test getting indicators'''
from metrics import get_indicators
indic, indic_ref = get_indicators(testset)
# Start comparing the results with computed values
# Get the year range for comparison of 'm'
yrange = datetime.now().year - min([int(p[:4]) for p in testset]) + 1
# Test the indicators for all publications
indicators = ['h', 'g', 'i10', 'i100']
for indicator in indicators:
self.assertEqual(indic[indicator],
expected_results['indicators'][indicator])
self.assertEqual(indic['m'], float(indic['h']) / float(yrange))
# By contruction of the reads data, Read10 follows thusly:
# there are only two papers published in previous 10 years
# and their current reads are all 1; one has 3 authors, the other 2
self.assertEqual(indic['read10'], 1.0 / float(3) + 1.0 / float(2))
# Now do the comparison for the refereed values
# The year range is the same, because the oldest paper is refereed
for indicator in indicators:
self.assertEqual(
indic_ref[indicator],
expected_results['indicators refereed'][indicator])
self.assertEqual(indic_ref['m'], float(indic_ref['h']) / float(yrange))
# There are no refereed papers in previous 10 years, so Read10 is zero
self.assertEqual(indic_ref['read10'], 0.0)
def test_get_h_nocits(self):
'''Test h index for only records where Ncits > Nrecs:
h should equal Nrecs'''
from metrics import get_indicators
indic, indic_ref = get_indicators(testset)
self.assertEqual(indic['h'], 0)
self.assertEqual(indic['g'], 0)
def test_get_h_nocits(self):
'''Test h index for only records where Ncits > Nrecs:
h should equal Nrecs'''
from metrics import get_indicators
indic, indic_ref = get_indicators(testset)
self.assertEqual(indic['h'], 0)
self.assertEqual(indic['g'], 0)
def test_get_indicators(self):
'''Test getting indicators'''
from metrics import get_indicators
indic, indic_ref = get_indicators(testset)
# Start comparing the results with computed values
# Get the year range for comparison of 'm'
yrange = datetime.now().year - min([int(p[:4]) for p in testset]) + 1
# Test the indicators for all publications
indicators = ['h', 'g', 'i10', 'i100']
for indicator in indicators:
self.assertEqual(
indic[indicator], expected_results['indicators'][indicator])
self.assertEqual(indic['m'], float(indic['h']) / float(yrange))
# By contruction of the reads data, Read10 follows thusly:
# there are only two papers published in previous 10 years
# and their current reads are all 1; one has 3 authors, the other 2
self.assertEqual(indic['read10'], 1.0 / float(3) + 1.0 / float(2))
# Now do the comparison for the refereed values
# The year range is the same, because the oldest paper is refereed
for indicator in indicators:
self.assertEqual(
indic_ref[indicator],
expected_results['indicators refereed'][indicator])
self.assertEqual(indic_ref['m'], float(indic_ref['h']) / float(yrange))
# There are no refereed papers in previous 10 years, so Read10 is zero
self.assertEqual(indic_ref['read10'], 0.0)