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Social Media and Myeloproliferative Neoplasms (MPN): Analysis of Advanced Metrics From the First Year of a New Twitter Community: #MPNSM

Overview of attention for article published in Current Hematologic Malignancy Reports, August 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#17 of 434)
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

twitter
40 tweeters

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
39 Mendeley
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Title
Social Media and Myeloproliferative Neoplasms (MPN): Analysis of Advanced Metrics From the First Year of a New Twitter Community: #MPNSM
Published in
Current Hematologic Malignancy Reports, August 2016
DOI 10.1007/s11899-016-0341-2
Pubmed ID
Authors

Naveen Pemmaraju, Audun Utengen, Vikas Gupta, Jean-Jacques Kiladjian, Ruben Mesa, Michael A. Thompson

Abstract

The social media platform Twitter has provided the hematology/oncology community with unprecedented, novel methods of interpersonal communication and increased ability for the dissemination of important updates in a rapidly moving field. The advent, and subsequent success, of disease-specific Twitter communities have further enabled interested healthcare stakeholders to become quickly organized around a unique set of rare medical conditions, such as hematologic malignancies, that, historically, generally lack large amounts of reliable online information. One example is the Twitter community #MPNSM (myeloproliferative neoplasms on social media), which was started approximately one and half years ago and has served as a recognized venue for discussion among many members of the MPN community, including patients, researchers, providers, and advocacy organizations. This article will focus on understanding the impact of the founding of this community via the analysis of advanced Twitter metrics of user experience, from the first year of use for this novel healthcare hashtag.

Twitter Demographics

Twitter Demographics

The data shown below were collected from the profiles of 40 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 5%
Colombia 1 3%
Unknown 36 92%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 31%
Student > Ph. D. Student 4 10%
Student > Doctoral Student 3 8%
Researcher 3 8%
Student > Bachelor 2 5%
Other 7 18%
Unknown 8 21%
Readers by discipline Count As %
Medicine and Dentistry 11 28%
Psychology 4 10%
Computer Science 3 8%
Engineering 3 8%
Social Sciences 3 8%
Other 6 15%
Unknown 9 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 22 April 2023.
All research outputs
#1,528,226
of 23,578,918 outputs
Outputs from Current Hematologic Malignancy Reports
#17
of 434 outputs
Outputs of similar age
#30,314
of 369,410 outputs
Outputs of similar age from Current Hematologic Malignancy Reports
#2
of 11 outputs
Altmetric has tracked 23,578,918 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 434 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done particularly well, scoring higher than 96% of its peers.
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 369,410 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.