(("plosViews", ()), (2009, 9), "PLOS views"),
(("pmcViews", ()), (2011, 6), "PMC views"),
(("maxCitations", ()), (2009, 3), "Citations")
]
attributeNames = map(lambda x: x[0][0], attributeList)
attributePrintNames = map(lambda x: x[2], attributeList)
calls = map(lambda x: x[0], attributeList)
stats = []
for ind, attr in zip(range(0, len(attributeList)), attributeList):
call = attr[0]
lowerBound = attr[1]
attName = attr[0][0]
valuesForMetric = filter(lambda x: x != None, map(lambda doc: applyCall(doc, call),
SimpleDoc.getallBetween(lowerBound, None)
))
minV, maxV, meanV, std = min(valuesForMetric), max(valuesForMetric), np.mean(valuesForMetric), np.std(valuesForMetric)
stats.append((attName, call, meanV, std, len(valuesForMetric)))
print attName + "\t" + "\t".join(map(lambda x: str(x), [minV, maxV, meanV, std]))
statValues = []
for stat in stats:
name = stat[0]
call = stat[1]
mean = stat[2]
std = stat[3]
numValues = stat[4]
def getAttributeValueMatrix(docs, callList):
return map(lambda doc: map(lambda call: applyCall(doc, call), callList), docs)
