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Management of enterprise carbon emissions data falsification considering government regulation and media monitoring

Overview of attention for article published in Frontiers in Environmental Science, November 2023
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Title
Management of enterprise carbon emissions data falsification considering government regulation and media monitoring
Published in
Frontiers in Environmental Science, November 2023
DOI 10.3389/fenvs.2023.1302089
Authors

Yalin Wang, Yong Sun, Yiling Miao

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Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 November 2023.
All research outputs
#22,196,941
of 24,766,831 outputs
Outputs from Frontiers in Environmental Science
#2,253
of 4,401 outputs
Outputs of similar age
#134,327
of 168,656 outputs
Outputs of similar age from Frontiers in Environmental Science
#21
of 101 outputs
Altmetric has tracked 24,766,831 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,401 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 168,656 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 101 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.